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Using Classification And Regression Trees: A Practical Primer

โœ Scribed by Xin Ma


Publisher
Information Age Publishing
Year
2018
Tongue
English
Leaves
166
Edition
1st Edition
Category
Library

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โœฆ Synopsis


Classification and regression trees (CART) is one of the several contemporary statistical techniques with good promise for research in many academic fields. There are very few books on CART, especially on applied CART. This book, as a good practical primer with a focus on applications, introduces the relatively new statistical technique of CART as a powerful analytical tool. The easy-to-understand (non-technical) language and illustrative graphs (tables) as well as the use of the popular statistical software program (SPSS) appeal to readers without strong statistical background. This book helps readers understand the foundation, the operation, and the interpretation of CART analysis, thus becoming knowledgeable consumers and skillful users of CART. The chapter on advanced CART procedures not yet well-discussed in the literature allows readers to effectively seek further empowerment of their research designs by extending the analytical power of CART to a whole new level. This highly practical book is specifically written for academic researchers, data analysts, and graduate students in many disciplines such as economics, social sciences, medical sciences, and sport sciences who do not have strong statistical background but still strive to take full advantage of CART as a powerful analytical tool for research in their fields.

โœฆ Table of Contents


Cover......Page 1
Using Classification and Regression Trees......Page 4
Library of Congress Cataloging-in-Publication Data......Page 5
Dedication......Page 6
Contents......Page 8
Preface......Page 12
Chapter 1: Introduction......Page 14
Chapter 2: Statistical Principles of CART......Page 28
Chapter 3: Basic Techniques of CART......Page 52
Chapter 4: Issues in CART Analysis......Page 72
Chapter 5: Applications of CART......Page 88
Chapter 6: Advanced Techniques of CART......Page 114
References......Page 142
APPENDIX A: Functionally Equivalent Binary Tree......Page 146
APPENDIX B: Common CART Software Programs......Page 148
APPENDIX C: SPSS Decision Tree Syntax......Page 152
APPENDIX D: SPSS Decision Tree Output......Page 154
APPENDIX E: SPSS Decision Tree Syntax Using Costs and Profits......Page 156
APPENDIX F: SPSS Decision Tree Syntax Using Priors......Page 158
APPENDIX G: SPSS Decision Tree Syntax for Drinking and Smoking Data......Page 160
APPENDIX H: SPSS Decision Tree Syntax for Mental Health and Physical Health Data......Page 162
APPENDIX I: SPSS Decision Tree Syntax for CART Produce for Meta-Analysis......Page 164
About the Author......Page 166

โœฆ Subjects


Education: Research: Statistical Methods, Discriminant Analysis, Regression Analysis, Trees: Graph Theory


๐Ÿ“œ SIMILAR VOLUMES


Classification and Regression Trees
โœ Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone ๐Ÿ“‚ Library ๐Ÿ“… 1984 ๐Ÿ› Chapman and Hall/CRC ๐ŸŒ English

The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable before computers. Both the practical and theoretical sides have been developed

Classification and Regression Trees
โœ Leo Breiman ๐Ÿ“‚ Library ๐Ÿ“… 2017 ๐Ÿ› CRC Press ๐ŸŒ English

The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable before computers. Both the practical and theoretical sides have been developed

Classification and Regression Trees
โœ Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone ๐Ÿ“‚ Library ๐Ÿ“… 1984 ๐Ÿ› Chapman and Hall/CRC ๐ŸŒ English

The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable before computers. Both the practical and theoretical sides have been developed