Cornerstone 7. DoE, Six Sigma, and EDA
|
|
- Lesley Golden
- 5 years ago
- Views:
Transcription
1 Cornerstone 7 DoE, Six Sigma, and EDA
2 Statistics made for engineers Cornerstone data analysis software allows efficient work to design experiments and explore data, analyze dependencies, and find answers you can act upon, immediately, interactively, and without any programming. Cornerstone provides statistical techniques, including DoE, regression, and multivariate analysis. With a highly intuitive and interactive user interface, Cornerstone enables engineers of multiple areas i. e. teams from manufacturing, research, development, quality assurance, and educational organizations to fully exploit and apply the potential of statistical data analysis. The workmap concept gives an easy overview of the analysis workflow and allows reuse for future data of same structure. New dialogs, menus and functions are possible with the Cornerstone Extension Language (CEL). Also, Cornerstone allows direct access to the R environment for statistical computing and graphics. The camline real-time systems (LineWorks, SPACE, XperiDesk, and InFrame Synpase MES) are perfectly supplemented by Cornerstone s interactive data analysis and process optimization capabilities. Easy to use, compact and fast statistics tool for engineers to Model DoEs and generate more knowledge from experiments Analyze data (batch & interactive) from multiple & diverse data sources Analyze data with astonishing graph visualizations, workmap recording and workflows, R integration and tools like brushing, linked reference lines, curve pasting,
3 Cornerstone follows a consistent and smart approach With Cornerstone, your analyzes are always up to date. The consistent and interactive linking of your data with subsequently derived graphs, analyses, results, and reports is preserved, even when your data changes or you switch to data sources of the same structure. You do not need to program or execute any scripts. The workmap is the script. Cornerstone is particularly designed to quickly sift and work through large amounts of data. The computing power provided will ensure that you can interactively work with Cornerstone, efficiently. In a wide range of applications, Cornerstone will satisfy most engineers and scientists needs. This does not require complicated approaches. With a smart set of generic statistical methods and graph types, Cornerstone is remarkably efficient. It supports your work at high quality. In most cases, you do not need to leave Cornerstone. You analyze dependencies among data groups. You test hypotheses and build predictive models. High level graphics and reports are immediately suitable for presentations. Cornerstone will help that all your decisions are based on facts and your conclusions are substantiated by valid data analyses. Both, novice and experts of statistics benefit from Cornerstone s modern and smart approach through increased work efficiency and minimized training time. Cornerstone comes with user manuals as textbooks that allow to quickly start with the set of standard statistical methods. In addition, the Cornerstone manuals are a detailed guide, how to effectively implement these statistical methods with Cornerstone. For all statistical objects, a direct interpretational aid is available. After first getting used to Cornerstone, the tool is very profitable. Dr. Thomas Weig, Development Engineer, OSRAM Opto Semiconductors GmbH (DE)
4 Engineering Analytics Practical for daily use in engineering You can take advantage of analysis workflows from previous projects and quickly adapt them to new problems. Lean user interface Powerful visualization capabilities Workmaps graphically document your analyses workflow Report designer to present your data and analyses results Even without the application of a formal statistical method, you already have multiple views on your data at the same time that help to find out dependencies, understand correlations, discover anomalies. For example, to visualize the context of selected points, you simply touch them in a graph with the brushing tool. The data will be highlighted correspondingly in all affected graphs and datasets. You can combine graphs with tabular results and arrange them in final reports. With only a few consistent graph types, Cornerstone covers the essentials of graphical data analysis. Via clipboard and with standard file formats, you can export your analyses results into other graphic tools and software applications. Access to data sources Cornerstone provides direct, transparent access to data stored in remote database sources that are accessible via ODBC with open access to SQL code. Spreadsheet formats like Excel can be read as well as ASCII files. An automatic reread of data from its source is supported. Any number of files of same column structure can be read into a single dataset simultaneously. Drag & Drop of Cornerstone datasets and workmaps accelerate data acquisition.
5 Workmaps visualize your analyses workflow Workmaps make your analysis process- Workmaps visualize your analyses The new designed es reusable As you analyze data with workflow by connected live elements. toolbars, menus, icons, Cornerstone, the workmap automatically Cornerstone s graphs are often the starting and shortcuts are very records each step of your analysis pro- point for analysis and discovery. Corner- useful. cess in the appropriate order. A workmap stone integrates data access, visualization, Dr. Thomas Bauer, contains all the individual analyses steps, analysis, and presentation in one package. Key-Expert Data Mining data and derived data, subsets, presentation Workmaps automatically record each & Optimization, OSRAM styles, tables, graphs, analyses objects, and reports. The workmap window shows all the individual components in the form of icons linked by arrows. The arrows visualize the data flow and the dependencies of datasets, analyses, graphs, and the final reports. Workmaps and their components can be processed further. In general, they are reusable, i. e. generically applicable. No scripting language is necessary in Cornerstone since this is an intrinsic function of the workmap. Different Cornerstone files can be merged into a single workmap. step in your analysis process Workmaps display your datasets, graphs, and analysis objects Diagrams show where the different graphs, tables, and analysis objects are derived from Many datasets can be read into a single Workmap Graphs can be joined even if they come from different datasets Opto Semiconductors GmbH (DE)
6 Engineering Analytics Design, explore, and analyze data The icons are very helpful and understandable. Josef Betschart, Consultant (CH) Apply Design of Experiments (DoE) Perform technical Data Analyses Model & optimize processes Capture workflow for reuse Present data at high-quality Use extensive statistical functions Accomplish these tasks specifically and in record speed Build your own application with the Cornerstone Extension Language (CEL) Cornerstone extension language (CEL) Customize Cornerstone particularly to your specific needs for a flexible extension of the standard functionality, Cornerstone also includes an own integrated, object-oriented development environment. You can use Cornerstone Extension Language (CEL) to create applications, new dialogs, menus, and other analysis functions. The open architecture, coupled with CEL, allows you to meet specific requirements of your organization. Or you integrate Cornerstone s exceptional capabilities with other software applications.
7 Save time an money Engineer oriented execution of statistics tasks without being burdened with statistics details Reducing the amount of experiments via statistically optimized experiment plans Optimizing your executed experiments via structured planning, data collection, and result analysis Automatic capturing compact, reusable workflows Easy and fast correlation detection in the data Fast finding of a usable process model Gain more information with less effort by better usability to Understand results quickly and easily Benefit from example use cases of others Extremely practical and useful. Cornerstone saves us a lot of manual work when creating reports. Joachim Sudbrock, Product Engineering, OSRAM Opto Semiconductors GmbH (DE)
8 Engineering Analytics Design of Experiments Discriminant Analysis Summary Statistics Statistical Process Control Interface DoE MANOVA & Tests Control Charts Data Acquisition & Manipulation Cornerstone Cornerstone Extension Language (CEL) Regression & ANOVA Correlations Principal Components Explorative Data Analysis Linked Brushing Distribution Fitting & Process Capability Integration & Linking Cornerstone s core functions Cornerstone provides the necessary statistical methods compact and clear to engineers. The Design of Experiments (DoE) component contains a step-by-step guide to successfully perform designed experiments. DoE supports advanced techniques like constraints in design space, inclusion runs, accessible candidate set for algorithmic designs, methods to perform robustness (Taguchi) or mixture designs. The Regression component also covers ANOVA methods and helps to model and improve your process on study. No difference is made in handling DoE or historical data. You create and refine models that describe one or multiple responses as a function of one or more either scaled or categorical predictors. Cornerstone supports all features like arbitrary high order expansion, stepwise regression, Box-Cox transformation, residual analysis in an unsurpassed compact workflow. MANOVA offers analyses techniques to compare groups based on multivariate data. You can investigate, whether the groups are different and how the differences are determined by the analyzed variables. Use MANOVA also for discriminant analysis. Principal Components Analysis is a technique for reducing the number of variables needed to represent the dependencies in your data. It is also a preliminary step for regression analysis in case of correlated predictors that otherwise cannot be adequately analyzed (regression on principal components). This direct combination of both steps is supported. The R-Integration gives you access to all functions of the R environment for statistical computing and graphics.
9 Explorative Data Analysis Tools such as interactive graphs with brushing or labeling, support your work practically before you need to consider inferential statistical methods. Summary Statistics & Test Create statistics (mean, median, standard-deviation etc.) with confidence bands. Grouping allows comparisons and data aggregation. Standard Tests (i. e. normal distribution, comparison of means and variances) perform basic statistical inference. Statistical Process Control is a powerful tool for monitoring your actual production process, identifying assignable causes for quality deviations. You create control charts for overseeing and improving your processes Distribution Fitting & Capability You can interactively fit distribution models to your data. Process capability indexes like Cp and Cpk quantify the quality of your processes to fulfill customers requirements. Six Sigma & Kaizen For these concepts of process improvement the Cornerstone approach intentionally addresses the level of engineers tasks. Its smart concept is clearly results-oriented. It shortens both training times, as well as the overall analyses efforts to achieve meaningful results. The menu design leads downright according to the sequence of typical analysis steps.
10 Engineering Analytics Highlights of Cornerstone 7 I like CS7 very much! Very convenient! The best of the new Cornerstone version are the symbols! Bernhard Wagner Packaging Technology, Engineering Pharma Service, Robert Bosch GmbH Complete review of user interface (Icons for all commands, free icon menus, shortcuts) Simultaneous MS Word/PowerPoint export for many graphs and datasets with templates Cornerstone Workmap can be linked to MS Office applications Graphic elements with property windows Sweetspot plot and desirability graph in regression Constraints shown in predicted response graph in regression Preference editor now within Cornerstone Many small improvements in specific details
11 Workmap Dataset Graphs Graphtools Analysis MANOVA DoE Regression Principal Components
12 CAMLINE HOMEPAGE platforms.html PLATFORMS CONTACT CAMLINE +49 (0) The information contained in this document is subject to change without notice. camline GmbH assumes no responsibility for any errors which may appear in this document. All company names and product names are trademarks or registered trademarks of their respective holders. camline, CAPS, LineWorks, LineWorks ECoFrame, LineWorks igate, LineWorks PULSE, LineWorks RM, LineWorks SPACE, LineWorks STARGATE, LineWorks WIP, and LineWorks UA are trademarks of camline GmbH.
What s New in Spotfire DXP 1.1. Spotfire Product Management January 2007
What s New in Spotfire DXP 1.1 Spotfire Product Management January 2007 Spotfire DXP Version 1.1 This document highlights the new capabilities planned for release in version 1.1 of Spotfire DXP. In this
More informationTechnical Support Minitab Version Student Free technical support for eligible products
Technical Support Free technical support for eligible products All registered users (including students) All registered users (including students) Registered instructors Not eligible Worksheet Size Number
More informationLearn What s New. Statistical Software
Statistical Software Learn What s New Upgrade now to access new and improved statistical features and other enhancements that make it even easier to analyze your data. The Assistant Data Customization
More informationMINITAB Release Comparison Chart Release 14, Release 13, and Student Versions
Technical Support Free technical support Worksheet Size All registered users, including students Registered instructors Number of worksheets Limited only by system resources 5 5 Number of cells per worksheet
More informationJMP Book Descriptions
JMP Book Descriptions The collection of JMP documentation is available in the JMP Help > Books menu. This document describes each title to help you decide which book to explore. Each book title is linked
More informationData Analyst Nanodegree Syllabus
Data Analyst Nanodegree Syllabus Discover Insights from Data with Python, R, SQL, and Tableau Before You Start Prerequisites : In order to succeed in this program, we recommend having experience working
More informationUNIT 4. Research Methods in Business
UNIT 4 Preparing Data for Analysis:- After data are obtained through questionnaires, interviews, observation or through secondary sources, they need to be edited. The blank responses, if any have to be
More informationMinitab 18 Feature List
Minitab 18 Feature List * New or Improved Assistant Measurement systems analysis * Capability analysis Graphical analysis Hypothesis tests Regression DOE Control charts * Graphics Scatterplots, matrix
More informationData Analyst Nanodegree Syllabus
Data Analyst Nanodegree Syllabus Discover Insights from Data with Python, R, SQL, and Tableau Before You Start Prerequisites : In order to succeed in this program, we recommend having experience working
More informationQstatLab: software for statistical process control and robust engineering
QstatLab: software for statistical process control and robust engineering I.N.Vuchkov Iniversity of Chemical Technology and Metallurgy 1756 Sofia, Bulgaria qstat@dir.bg Abstract A software for quality
More informationMultivariate Calibration Quick Guide
Last Updated: 06.06.2007 Table Of Contents 1. HOW TO CREATE CALIBRATION MODELS...1 1.1. Introduction into Multivariate Calibration Modelling... 1 1.1.1. Preparing Data... 1 1.2. Step 1: Calibration Wizard
More informationMinitab 17 commands Prepared by Jeffrey S. Simonoff
Minitab 17 commands Prepared by Jeffrey S. Simonoff Data entry and manipulation To enter data by hand, click on the Worksheet window, and enter the values in as you would in any spreadsheet. To then save
More information1. Basic Steps for Data Analysis Data Editor. 2.4.To create a new SPSS file
1 SPSS Guide 2009 Content 1. Basic Steps for Data Analysis. 3 2. Data Editor. 2.4.To create a new SPSS file 3 4 3. Data Analysis/ Frequencies. 5 4. Recoding the variable into classes.. 5 5. Data Analysis/
More informationIf the active datasheet is empty when the StatWizard appears, a dialog box is displayed to assist in entering data.
StatWizard Summary The StatWizard is designed to serve several functions: 1. It assists new users in entering data to be analyzed. 2. It provides a search facility to help locate desired statistical procedures.
More informationTutorial Base Module
Tutorial Base Module CONTENTS Part 1 - Introduction to the CycloLog desktop... 7 1.1 Introduction to the CycloLog desktop... 7 1.2 Using Log Data panes... 9 Part 2 - Importing and displaying well log data...
More informationMicroStrategy Analytics Desktop
MicroStrategy Analytics Desktop Quick Start Guide MicroStrategy Analytics Desktop is designed to enable business professionals like you to explore data, simply and without needing direct support from IT.
More information8. MINITAB COMMANDS WEEK-BY-WEEK
8. MINITAB COMMANDS WEEK-BY-WEEK In this section of the Study Guide, we give brief information about the Minitab commands that are needed to apply the statistical methods in each week s study. They are
More informationIBM SPSS Statistics: What s New
: What s New New and enhanced features to accelerate, optimize and simplify data analysis Highlights Extend analytics capabilities to a broader set of users with a cost-effective, pay-as-you-go software
More informationIn-Memory Analytics with EXASOL and KNIME //
Watch our predictions come true! In-Memory Analytics with EXASOL and KNIME // Dr. Marcus Dill Analytics 2020 The volume and complexity of data today and in the future poses great challenges for IT systems.
More informationRight-click on whatever it is you are trying to change Get help about the screen you are on Help Help Get help interpreting a table
Q Cheat Sheets What to do when you cannot figure out how to use Q What to do when the data looks wrong Right-click on whatever it is you are trying to change Get help about the screen you are on Help Help
More informationFor Additional Information...
For Additional Information... The materials in this handbook were developed by Master Black Belts at General Electric Medical Systems to assist Black Belts and Green Belts in completing Minitab Analyses.
More informationNow, Data Mining Is Within Your Reach
Clementine Desktop Specifications Now, Data Mining Is Within Your Reach Data mining delivers significant, measurable value. By uncovering previously unknown patterns and connections in data, data mining
More informationIvy s Business Analytics Foundation Certification Details (Module I + II+ III + IV + V)
Ivy s Business Analytics Foundation Certification Details (Module I + II+ III + IV + V) Based on Industry Cases, Live Exercises, & Industry Executed Projects Module (I) Analytics Essentials 81 hrs 1. Statistics
More informationHyperion Interactive Reporting Reports & Dashboards Essentials
Oracle University Contact Us: +27 (0)11 319-4111 Hyperion Interactive Reporting 11.1.1 Reports & Dashboards Essentials Duration: 5 Days What you will learn The first part of this course focuses on two
More information1 Introducing SAS and SAS/ASSIST Software
1 CHAPTER 1 Introducing SAS and SAS/ASSIST Software What Is SAS? 1 Data Access 2 Data Management 2 Data Analysis 2 Data Presentation 2 SAS/ASSIST Software 2 The SAS/ASSIST WorkPlace Environment 3 Buttons
More informationGetting Started with Minitab 18
2017 by Minitab Inc. All rights reserved. Minitab, Quality. Analysis. Results. and the Minitab logo are registered trademarks of Minitab, Inc., in the United States and other countries. Additional trademarks
More informationMinitab detailed
Minitab 18.1 - detailed ------------------------------------- ADDITIVE contact sales: 06172-5905-30 or minitab@additive-net.de ADDITIVE contact Technik/ Support/ Installation: 06172-5905-20 or support@additive-net.de
More informationDATASTREAM CHART STUDIO GETTING STARTED
DATASTREAM DATASTREAM CHART STUDIO GETTING STARTED Thomson Reuters Training Quick and easy access to Technical Analysis charts and data is essential in today s fast moving markets. The Datastream Chart
More informationVHIMS UPGRADE VERSION
Introduction A new RiskMan version release is now available for VHIMS clients. The following new features and modifications have been implemented since the previous release. What s New What s Changed Homepage
More informationWhat s New in Oracle Crystal Ball? What s New in Version Browse to:
What s New in Oracle Crystal Ball? Browse to: - What s new in version 11.1.1.0.00 - What s new in version 7.3 - What s new in version 7.2 - What s new in version 7.1 - What s new in version 7.0 - What
More informationCreate Custom Tables in No Time
PASW Custom Tables 18 Create Custom Tables in No Time Easily analyze data and communicate your results with PASW Custom Tables Show the results of analyses clearly and quickly You often report the results
More informationEnterprise Client Software for the Windows Platform
Paper 154 Enterprise Client Software for the Windows Platform Gail Kramer, SAS Institute Inc., Cary, NC Carol Rigsbee, SAS Institute Inc., Cary, NC John Toebes, SAS Institute Inc., Cary, NC Jeff Polzin,
More informationGetting Started with Minitab 17
2014, 2016 by Minitab Inc. All rights reserved. Minitab, Quality. Analysis. Results. and the Minitab logo are all registered trademarks of Minitab, Inc., in the United States and other countries. See minitab.com/legal/trademarks
More informationMeet MINITAB. Student Release 14. for Windows
Meet MINITAB Student Release 14 for Windows 2003, 2004 by Minitab Inc. All rights reserved. MINITAB and the MINITAB logo are registered trademarks of Minitab Inc. All other marks referenced remain the
More informationCLAREMONT MCKENNA COLLEGE. Fletcher Jones Student Peer to Peer Technology Training Program. Basic Statistics using Stata
CLAREMONT MCKENNA COLLEGE Fletcher Jones Student Peer to Peer Technology Training Program Basic Statistics using Stata An Introduction to Stata A Comparison of Statistical Packages... 3 Opening Stata...
More informationVERSION EIGHT PRODUCT PROFILE. Be a better auditor. You have the knowledge. We have the tools.
VERSION EIGHT PRODUCT PROFILE Be a better auditor. You have the knowledge. We have the tools. Improve your audit results and extend your capabilities with IDEA's powerful functionality. With IDEA, you
More informationIntroduction to BEST Viewpoints
Introduction to BEST Viewpoints This is not all but just one of the documentation files included in BEST Viewpoints. Introduction BEST Viewpoints is a user friendly data manipulation and analysis application
More informationSTART GUIDE CDMNext V.3.0
1 START GUIDE CDMNext V.3.0 2018 CEIC Data. All rights reserved. 2 TABLE OF CONTENTS 1. PRODUCT OVERVIEW... 3 2. Starting CDMNEXT... 3 2.1 Login... 3 2.2 Prerequisites... 4 2.3 Landing Page... 4 3. creating
More informationSTATISTICS FOR PSYCHOLOGISTS
STATISTICS FOR PSYCHOLOGISTS SECTION: JAMOVI CHAPTER: USING THE SOFTWARE Section Abstract: This section provides step-by-step instructions on how to obtain basic statistical output using JAMOVI, both visually
More informationStatCalc User Manual. Version 9 for Mac and Windows. Copyright 2018, AcaStat Software. All rights Reserved.
StatCalc User Manual Version 9 for Mac and Windows Copyright 2018, AcaStat Software. All rights Reserved. http://www.acastat.com Table of Contents Introduction... 4 Getting Help... 4 Uninstalling StatCalc...
More informationMulti-sheet Workbooks for Scientists and Engineers
Origin 8 includes a suite of features that cater to the needs of scientists and engineers alike. Multi-sheet workbooks, publication-quality graphics, and standardized analysis tools provide a tightly integrated
More informationpre- & post-processing f o r p o w e r t r a i n
pre- & post-processing f o r p o w e r t r a i n www.beta-cae.com With its complete solutions for meshing, assembly, contacts definition and boundary conditions setup, ANSA becomes the most efficient and
More informationAN OVERVIEW AND EXPLORATION OF JMP A DATA DISCOVERY SYSTEM IN DAIRY SCIENCE
AN OVERVIEW AND EXPLORATION OF JMP A DATA DISCOVERY SYSTEM IN DAIRY SCIENCE A.P. Ruhil and Tara Chand National Dairy Research Institute, Karnal-132001 JMP commonly pronounced as Jump is a statistical software
More informationAnalyst for Kx. Product Overview
Product Overview ` Analyst for Kx Real-Time Data Transformation, Exploration and Discovery Suite Analyst For Kx provides users with a complete real-time data transformation, exploration and discovery workflow.
More informationUSING ODBC COMPLIANT SOFTWARE MINTRAC PLUS CONTENTS:
CONTENTS: Summary... 2 Microsoft Excel... 2 Creating a New Spreadsheet With ODBC Data... 2 Editing a Query in Microsoft Excel... 9 Quattro Pro... 12 Creating a New Spreadsheet with ODBC Data... 13 Editing
More information2010 by Minitab, Inc. All rights reserved. Release Minitab, the Minitab logo, Quality Companion by Minitab and Quality Trainer by Minitab are
2010 by Minitab, Inc. All rights reserved. Release 16.1.0 Minitab, the Minitab logo, Quality Companion by Minitab and Quality Trainer by Minitab are registered trademarks of Minitab, Inc. in the United
More informationThe Six Principles of BW Data Validation
The Problem The Six Principles of BW Data Validation Users do not trust the data in your BW system. The Cause By their nature, data warehouses store large volumes of data. For analytical purposes, the
More informationDesign of Experiments
Seite 1 von 1 Design of Experiments Module Overview In this module, you learn how to create design matrices, screen factors, and perform regression analysis and Monte Carlo simulation using Mathcad. Objectives
More informationMicroStrategy Desktop Quick Start Guide
MicroStrategy Desktop Quick Start Guide Version: 10.4 10.4, December 2017 Copyright 2017 by MicroStrategy Incorporated. All rights reserved. Trademark Information The following are either trademarks or
More informationAn Interactive GUI Front-End for a Credit Scoring Modeling System
Paper 6 An Interactive GUI Front-End for a Credit Scoring Modeling System Jeffrey Morrison, Futian Shi, and Timothy Lee Knowledge Sciences & Analytics, Equifax Credit Information Services, Inc. Abstract
More informationContents. CRITERION Vantage 3 Analysis Training Manual. Introduction 1. Basic Functionality of CRITERION Analysis 5. Charts and Reports 17
CRITERION Vantage 3 Analysis Training Manual Contents Introduction 1 Basic Functionality of CRITERION Analysis 5 Charts and Reports 17 Preferences and Defaults 53 2 Contents 1 Introduction 4 Application
More informationMinitab Study Card J ENNIFER L EWIS P RIESTLEY, PH.D.
Minitab Study Card J ENNIFER L EWIS P RIESTLEY, PH.D. Introduction to Minitab The interface for Minitab is very user-friendly, with a spreadsheet orientation. When you first launch Minitab, you will see
More informationSTAT 3304/5304 Introduction to Statistical Computing. Introduction to SAS
STAT 3304/5304 Introduction to Statistical Computing Introduction to SAS What is SAS? SAS (originally an acronym for Statistical Analysis System, now it is not an acronym for anything) is a program designed
More informationExploratory Data Analysis with R. Matthew Renze Iowa Code Camp Fall 2013
Exploratory Data Analysis with R Matthew Renze Iowa Code Camp Fall 2013 Motivation The ability to take data to be able to understand it, to process it, to extract value from it, to visualize it, to communicate
More informationQuick Start Guide Jacob Stolk PhD Simone Stolk MPH November 2018
Quick Start Guide Jacob Stolk PhD Simone Stolk MPH November 2018 Contents Introduction... 1 Start DIONE... 2 Load Data... 3 Missing Values... 5 Explore Data... 6 One Variable... 6 Two Variables... 7 All
More informationAn Interactive GUI Front-End for a Credit Scoring Modeling System by Jeffrey Morrison, Futian Shi, and Timothy Lee
An Interactive GUI Front-End for a Credit Scoring Modeling System by Jeffrey Morrison, Futian Shi, and Timothy Lee Abstract The need for statistical modeling has been on the rise in recent years. Banks,
More informationSAS Enterprise Miner : Tutorials and Examples
SAS Enterprise Miner : Tutorials and Examples SAS Documentation February 13, 2018 The correct bibliographic citation for this manual is as follows: SAS Institute Inc. 2017. SAS Enterprise Miner : Tutorials
More informationData Analysis Guidelines
Data Analysis Guidelines DESCRIPTIVE STATISTICS Standard Deviation Standard deviation is a calculated value that describes the variation (or spread) of values in a data set. It is calculated using a formula
More informationFoxboro Evo Process Automation System
Foxboro Evo Process Automation System Product Specifications Wonderware Historian Client Wonderware Historian Client, previously known as ActiveFactory software, consists of a set of powerful tools and
More informationUser Services Spring 2008 OBJECTIVES Introduction Getting Help Instructors
User Services Spring 2008 OBJECTIVES Use the Data Editor of SPSS 15.0 to to import data. Recode existing variables and compute new variables Use SPSS utilities and options Conduct basic statistical tests.
More informationA quick introduction to First Bayes
A quick introduction to First Bayes Lawrence Joseph October 1, 2003 1 Introduction This document very briefly reviews the main features of the First Bayes statistical teaching package. For full details,
More informationSTATS PAD USER MANUAL
STATS PAD USER MANUAL For Version 2.0 Manual Version 2.0 1 Table of Contents Basic Navigation! 3 Settings! 7 Entering Data! 7 Sharing Data! 8 Managing Files! 10 Running Tests! 11 Interpreting Output! 11
More informationConstruction IC User Guide. Analyse Markets.
Construction IC User Guide Analyse Markets clientservices.construction@globaldata.com https://construction.globaldata.com Analyse Markets Our Market Analysis Tools are designed to give you highly intuitive
More informationExperiment 1 CH Fall 2004 INTRODUCTION TO SPREADSHEETS
Experiment 1 CH 222 - Fall 2004 INTRODUCTION TO SPREADSHEETS Introduction Spreadsheets are valuable tools utilized in a variety of fields. They can be used for tasks as simple as adding or subtracting
More informationPutting it all together: Creating a Big Data Analytic Workflow with Spotfire
Putting it all together: Creating a Big Data Analytic Workflow with Spotfire Authors: David Katz and Mike Alperin, TIBCO Data Science Team In a previous blog, we showed how ultra-fast visualization of
More information1 Introduction to Using Excel Spreadsheets
Survey of Math: Excel Spreadsheet Guide (for Excel 2007) Page 1 of 6 1 Introduction to Using Excel Spreadsheets This section of the guide is based on the file (a faux grade sheet created for messing with)
More informationSPM Users Guide. This guide elaborates on powerful ways to combine the TreeNet and GPS engines to achieve model compression and more.
SPM Users Guide Model Compression via ISLE and RuleLearner This guide elaborates on powerful ways to combine the TreeNet and GPS engines to achieve model compression and more. Title: Model Compression
More informationSurvey of Math: Excel Spreadsheet Guide (for Excel 2016) Page 1 of 9
Survey of Math: Excel Spreadsheet Guide (for Excel 2016) Page 1 of 9 Contents 1 Introduction to Using Excel Spreadsheets 2 1.1 A Serious Note About Data Security.................................... 2 1.2
More informationConstruction IC User Guide
Construction IC User Guide The complete source of project, company, market and theme information for the global construction industry clientservices.construction@globaldata.com https://construction.globaldata.com
More informationCreating a data file and entering data
4 Creating a data file and entering data There are a number of stages in the process of setting up a data file and analysing the data. The flow chart shown on the next page outlines the main steps that
More information2011 NAICC ARM 8 Introduction Training, Jan. 2011
2011 NAICC ARM 8 Introduction Training, Jan. 2011 General Overview of ARM Menu Choices 1) Help: a) F1, any Help button, or displays help on current Topic. b) F5 or on a study editor displays help about
More informationPredict Outcomes and Reveal Relationships in Categorical Data
PASW Categories 18 Specifications Predict Outcomes and Reveal Relationships in Categorical Data Unleash the full potential of your data through predictive analysis, statistical learning, perceptual mapping,
More informationDelivering Information to the People Who Need to Know Carol Rigsbee, SAS Institute Chris Hemedinger, SAS Institute
Paper 145-26 Delivering Information to the People Who Need to Know Carol Rigsbee, SAS Institute Chris Hemedinger, SAS Institute ABSTRACT One of many things that SAS software enables you to do is to deliver
More informationAnd the benefits are immediate minimal changes to the interface allow you and your teams to access these
Find Out What s New >> With nearly 50 enhancements that increase functionality and ease-of-use, Minitab 15 has something for everyone. And the benefits are immediate minimal changes to the interface allow
More informationUser Interface Design
Objective User Interface Design MIT, Walailak University by Dr.Wichian Chutimaskul Understand the principles of user interface (UI) design Understand the process of user interface design To design the
More informationERDAS IMAGINE THE WORLD S MOST WIDELY-USED REMOTE SENSING SOFTWARE PACKAGE
PRODUCT BROCHURE ERDAS IMAGINE THE WORLD S MOST WIDELY-USED REMOTE SENSING SOFTWARE PACKAGE 1 ERDAS IMAGINE The world s most widely-used remote sensing software package 2 ERDAS IMAGINE The world s most
More informationDelivering Information to the People Who Need to Know Carol Rigsbee, SAS Institute Chris Hemedinger, SAS Institute
Delivering Information to the People Who Need to Know Carol Rigsbee, SAS Institute Chris Hemedinger, SAS Institute ABSTRACT One of many things that SAS software enables you to do is to deliver the information
More informationStatistics with a Hemacytometer
Statistics with a Hemacytometer Overview This exercise incorporates several different statistical analyses. Data gathered from cell counts with a hemacytometer is used to explore frequency distributions
More informationMains Quality PQ-ANALYZER CLASS A
MAVOLOG Pro PQ-ANALYZER CLASS A Class A instrument per EN 61000-4-30 (edition 2) Excellent measuring accuracy (0.1%) for electrical quantities Automatic evaluation of measurement results and report generation
More informationQuick Start Guide. Copyright 2016 Rapid Insight Inc. All Rights Reserved
Quick Start Guide Copyright 2016 Rapid Insight Inc. All Rights Reserved 2 Rapid Insight Veera - Quick Start Guide QUICK REFERENCE Workspace Tab MAIN MENU Toolbar menu options change when the Workspace
More informationDOE SENSITIVITY ANALYSIS WITH LS-OPT AND VISUAL EXPLORATION OF DESIGN SPACE USING D-SPEX AUTHORS: CORRESPONDENCE: ABSTRACT KEYWORDS:
DOE SENSITIVITY ANALYSIS WITH LS-OPT AND VISUAL EXPLORATION OF DESIGN SPACE USING D-SPEX AUTHORS: Katharina Witowski Heiner Muellerschoen Marko Thiele DYNAmore GmbH Uwe Gerlinger AUDI AG CORRESPONDENCE:
More informationData Analysis Multiple Regression
Introduction Visual-XSel 14.0 is both, a powerful software to create a DoE (Design of Experiment) as well as to evaluate the results, or historical data. After starting the software, the main guide shows
More informationTasks Menu Reference. Introduction. Data Management APPENDIX 1
229 APPENDIX 1 Tasks Menu Reference Introduction 229 Data Management 229 Report Writing 231 High Resolution Graphics 232 Low Resolution Graphics 233 Data Analysis 233 Planning Tools 235 EIS 236 Remote
More informationIntroduction (SPSS) Opening SPSS Start All Programs SPSS Inc SPSS 21. SPSS Menus
Introduction (SPSS) SPSS is the acronym of Statistical Package for the Social Sciences. SPSS is one of the most popular statistical packages which can perform highly complex data manipulation and analysis
More informationEvaluation Report on PolyAnalyst 4.6
1. INTRODUCTION CMPUT695: Assignment#2 Evaluation Report on PolyAnalyst 4.6 Hongqin Fan and Yunping Wang PolyAnalyst 4.6 professional edition (PA) is a commercial data mining tool developed by Megaputer
More informationEvent: PASS SQL Saturday - DC 2018 Presenter: Jon Tupitza, CTO Architect
Event: PASS SQL Saturday - DC 2018 Presenter: Jon Tupitza, CTO Architect BEOP.CTO.TP4 Owner: OCTO Revision: 0001 Approved by: JAT Effective: 08/30/2018 Buchanan & Edwards Proprietary: Printed copies of
More informationDoE with Visual-XSel 13.0
Introduction Visual-XSel 13.0 is both, a powerful software to create a DoE (Design of Experiment) as well as to evaluate the results, or historical data. After starting the software, the main guide shows
More informationTHE L.L. THURSTONE PSYCHOMETRIC LABORATORY UNIVERSITY OF NORTH CAROLINA. Forrest W. Young & Carla M. Bann
Forrest W. Young & Carla M. Bann THE L.L. THURSTONE PSYCHOMETRIC LABORATORY UNIVERSITY OF NORTH CAROLINA CB 3270 DAVIE HALL, CHAPEL HILL N.C., USA 27599-3270 VISUAL STATISTICS PROJECT WWW.VISUALSTATS.ORG
More informationReal-Time Data Extraction Technology for Effectively Supporting Work Improvement Cycles
Real-Time Data Extraction Technology for Effectively Supporting Work Improvement Cycles Nobuhiro Niina *1 Yokogawa has developed a real-time data extraction technology for effectively supporting work improvement
More informationPaper SAS Taming the Rule. Charlotte Crain, Chris Upton, SAS Institute Inc.
ABSTRACT Paper SAS2620-2016 Taming the Rule Charlotte Crain, Chris Upton, SAS Institute Inc. When business rules are deployed and executed--whether a rule is fired or not if the rule-fire outcomes are
More informationIntroduction to Data Science
UNIT I INTRODUCTION TO DATA SCIENCE Syllabus Introduction of Data Science Basic Data Analytics using R R Graphical User Interfaces Data Import and Export Attribute and Data Types Descriptive Statistics
More informationINTRODUCTION to. Program in Statistics and Methodology (PRISM) Daniel Blake & Benjamin Jones January 15, 2010
INTRODUCTION to Program in Statistics and Methodology (PRISM) Daniel Blake & Benjamin Jones January 15, 2010 While we are waiting Everyone who wishes to work along with the presentation should log onto
More informationExcel 2013 Charts and Graphs
Excel 2013 Charts and Graphs Copyright 2016 Faculty and Staff Training, West Chester University. A member of the Pennsylvania State System of Higher Education. No portion of this document may be reproduced
More informationLearning Objectives for Data Concept and Visualization
Learning Objectives for Data Concept and Visualization Assignment 1: Data Quality Concept and Impact of Data Quality Summarize concepts of data quality. Understand and describe the impact of data on actuarial
More informationArcView QuickStart Guide. Contents. The ArcView Screen. Elements of an ArcView Project. Creating an ArcView Project. Adding Themes to Views
ArcView QuickStart Guide Page 1 ArcView QuickStart Guide Contents The ArcView Screen Elements of an ArcView Project Creating an ArcView Project Adding Themes to Views Zoom and Pan Tools Querying Themes
More informationS-PLUS INSTRUCTIONS FOR CASE STUDIES IN THE STATISTICAL SLEUTH
S-PLUS INSTRUCTIONS FOR CASE STUDIES IN THE STATISTICAL SLEUTH Dan Schafer January, 2002 This guide contains brief instructions for accomplishing the graphical and numerical analyses of the case studies
More informationThe Procedure Proposal of Manufacturing Systems Management by Using of Gained Knowledge from Production Data
The Procedure Proposal of Manufacturing Systems Management by Using of Gained Knowledge from Production Data Pavol Tanuska Member IAENG, Pavel Vazan, Michal Kebisek, Milan Strbo Abstract The paper gives
More informationWhy Spreadsheets and Microsoft Excel? Spreadsheets are the most common, general purpose software for data analysis and reporting.
DATA 301 Introduction to Data Analytics Spreadsheets: Microsoft Excel Dr. Ramon Lawrence University of British Columbia Okanagan ramon.lawrence@ubc.ca DATA 301: Data Analytics (2) Why Spreadsheets and
More informationDATA 301 Introduction to Data Analytics Spreadsheets: Microsoft Excel
DATA 301 Introduction to Data Analytics Spreadsheets: Microsoft Excel Dr. Ramon Lawrence University of British Columbia Okanagan ramon.lawrence@ubc.ca DATA 301: Data Analytics (2) Why Spreadsheets and
More informationLecture 25: Review I
Lecture 25: Review I Reading: Up to chapter 5 in ISLR. STATS 202: Data mining and analysis Jonathan Taylor 1 / 18 Unsupervised learning In unsupervised learning, all the variables are on equal standing,
More information