Teach Yourself Cluster Analysis, Conjoint Analysis, and Econometrics Techniques

Hui Liew

ISBN 10: 1304521176 / ISBN 13: 9781304521170

Published by Lulu.Com, 2013

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - This book will address such classification and econometrics techniques as cluster analysis, conjoint analysis, seemingly unrelated regression, and simultaneous equations modeling. The purpose and rationale for using each technique will be explained in lay man's terms, using illustrative concepts that are easily understood. Mathematical prerequisites are generally low; the author assumes her reader has some familiarity with descriptive statistics and multivariate analysis. After reading the book, the reader will be able to understand and apply each technique without having to know the meaning of Greek symbols and equations. The syntax and output for each technique will be discussed and the author will provide a clear explanation of how to interpret the output. Readers will know how to modify the syntax provided in the book and apply them to their own programs to use. Programming syntax in SPSS and R are provided.

Seller Inventory # 9781304521170

Bibliographic Details

• Title: Teach Yourself Cluster Analysis, Conjoint Analysis, and Econometrics Techniques
• Publisher: Lulu.Com
• Publication Date: 2013
• Language: English
• ISBN 10: 1304521176
• ISBN 13: 9781304521170
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 280W x 216H x 10D millimeters 280 millimeters width by 216 millimeters height by 10 millimeters depth
• Weight: 494 grams

About this title

Synopsis

This book will address such classification and econometrics techniques as cluster analysis, conjoint analysis, seemingly unrelated regression, and simultaneous equations modeling. The purpose and rationale for using each technique will be explained in lay man's terms, using illustrative concepts that are easily understood. Mathematical prerequisites are generally low; the author assumes her reader has some familiarity with descriptive statistics and multivariate analysis. After reading the book, the reader will be able to understand and apply each technique without having to know the meaning of Greek symbols and equations. The syntax and output for each technique will be discussed and the author will provide a clear explanation of how to interpret the output. Readers will know how to modify the syntax provided in the book and apply them to their own programs to use. Programming syntax in SPSS and R are provided.