398,33 €
442,59 €
-10% with code: EXTRA
Regression Analysis for Social Sciences
398,33 € 
- We will send in 10–14 business days.
Regression Analysis for Social Sciences presents methods of regression analysis in an accessible way, with each method having illustrations and examples. A broad spectrum of methods are included: multiple categorical predictors, methods for curvilinear regression, and methods for symmetric regression. This book can be used for courses in regression analysis at the advanced undergraduate and beginning graduate level in the social and behavioral sciences. Most of the techniques are explained step…
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- Author: Alexander von Eye
- Publisher: Academic Press
- ISBN-10: 0127249559
- ISBN-13: 9780127249551
- Format: 15.8 x 23.7 x 2.4 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
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Regression Analysis for Social Sciences presents methods of regression analysis in an accessible way, with each method having illustrations and examples. A broad spectrum of methods are included: multiple categorical predictors, methods for curvilinear regression, and methods for symmetric regression. This book can be used for courses in regression analysis at the advanced undergraduate and beginning graduate level in the social and behavioral sciences. Most of the techniques are explained step-by-step enabling students and researchers to analyze their own data. Examples include data from the social and behavioral sciences as well as biology, making the book useful for readers with biological and biometrical backgrounds. Sample command and result files for SYSTAT are included in the text.EXTRA 10 % discount with code: EXTRA
398,33 €
442,59 €
We will send in 10–14 business days.
The promotion ends in 18d.08:25:05
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Alexander von Eye
- Publisher: Academic Press
- ISBN-10: 0127249559
- ISBN-13: 9780127249551
- Format: 15.8 x 23.7 x 2.4 cm, softcover
- Language: English English
Regression Analysis for Social Sciences presents methods of regression analysis in an accessible way, with each method having illustrations and examples. A broad spectrum of methods are included: multiple categorical predictors, methods for curvilinear regression, and methods for symmetric regression. This book can be used for courses in regression analysis at the advanced undergraduate and beginning graduate level in the social and behavioral sciences. Most of the techniques are explained step-by-step enabling students and researchers to analyze their own data. Examples include data from the social and behavioral sciences as well as biology, making the book useful for readers with biological and biometrical backgrounds. Sample command and result files for SYSTAT are included in the text.
Reviews