Statistical Discovery. TM From SAS. JMP ® Software: Introduction to Categorical Data Analysis.

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Statistical Discovery. TM From SAS. JMP ® Software: Introduction to Categorical Data Analysis

Transcript of Statistical Discovery. TM From SAS. JMP ® Software: Introduction to Categorical Data Analysis.

Page 1: Statistical Discovery. TM From SAS. JMP ® Software: Introduction to Categorical Data Analysis.

Statistical Discovery.TM From SAS.

JMP® Software: Introduction to Categorical Data Analysis

Page 2: Statistical Discovery. TM From SAS. JMP ® Software: Introduction to Categorical Data Analysis.

Chapter 1 Stratified Data Analysis1.1 Introduction

1.2 Examining Associations among Variables

1.3 Recursive Partitioning

1.4 Introduction to Logistic Regression

1.5 Chapter Summary

1.6 Solutions

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Page 3: Statistical Discovery. TM From SAS. JMP ® Software: Introduction to Categorical Data Analysis.

Chapter 2 Logistic Regression and Correspondence Analysis2.1 Fitting Ordinal Logistic Regression Models

2.2 Fitting Nominal Logistic Regression Models

2.3 Introduction to Correspondence Analysis

2.4 Chapter Summary

2.5 Solutions

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Page 4: Statistical Discovery. TM From SAS. JMP ® Software: Introduction to Categorical Data Analysis.

Chapter 3 Attribute Measurement Systems Analysis3.1 Introduction to Attribute Measurement Systems

Analysis

3.2 Conducting an Attribute MSA

3.3 Chapter Summary

3.4 Solutions

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Page 5: Statistical Discovery. TM From SAS. JMP ® Software: Introduction to Categorical Data Analysis.

Appendix A Statistical Details of the Likelihood FunctionA.1 The Likelihood Function in More Detail

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Page 6: Statistical Discovery. TM From SAS. JMP ® Software: Introduction to Categorical Data Analysis.

SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2009 SAS Institute Inc. Cary, NC, USA. All rights reserved. Prepared 02NOV2009.