Multiple Comparisons and Multiple Tests Using SAS: Workbook - Softcover

Westfall, Peter

 
9781580257596: Multiple Comparisons and Multiple Tests Using SAS: Workbook

Inhaltsangabe

Does your work require multiple inferences? Are you a statistics teacher looking for a study guide to supplement the usually incomplete or outdated multiple comparisons/multiple testing material in your textbook? Peter Westfall and Randall Tobias's Multiple Comparisons and Multiple Tests Using SAS: Workbook, the companion guide written specifically for use with Multiple Comparisons and Multiple Tests Using SAS, provides the supplement you need. Use this workbook and you will find problems and solutions that will enhance your understanding of the material within the main text. The workbook also provides updated information about multiple comparisons procedures, including enhancements for SAS 8.1. The chapters correlate with the chapters of the main text, and the format is clear and easy to use. This book and the companion text are quite useful as supplements for learning multiple comparisons procedures in standard linear models, multivariate analysis, categorical analysis, and regression and nonparametric statistics.

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Reseña del editor

Does your work require multiple inferences? Are you a statistics teacher looking for a study guide to supplement the usually incomplete or outdated multiple comparisons/multiple testing material in your textbook? Peter Westfall and Randall Tobias's Multiple Comparisons and Multiple Tests Using SAS: Workbook, the companion guide written specifically for use with Multiple Comparisons and Multiple Tests Using SAS, provides the supplement you need. Use this workbook and you will find problems and solutions that will enhance your understanding of the material within the main text. The workbook also provides updated information about multiple comparisons procedures, including enhancements for SAS 8.1. The chapters correlate with the chapters of the main text, and the format is clear and easy to use. This book and the companion text are quite useful as supplements for learning multiple comparisons procedures in standard linear models, multivariate analysis, categorical analysis, and regression and nonparametric statistics.

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