This book covers multivariate statistical analyses that are important for researchers in all fields of management whether finance, production, accounting, marketing, strategy, technology or human resources management. Although multivariate statistical techniques such as those described in this book
Statistical Analysis of Management Data
โ Scribed by Hubert Gatignon (auth.)
- Publisher
- Springer US
- Year
- 2014
- Tongue
- English
- Leaves
- 576
- Edition
- 3
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Statistical Analysis of Management Data provides a comprehensive approach to multivariate statistical analyses that are important for researchers in all fields of management, including finance, production, accounting, marketing, strategy, technology, and human resources. This book is especially designed to provide doctoral students with a theoretical knowledge of the concepts underlying the most important multivariate techniques and an overview of actual applications. It offers a clear, succinct exposition of each technique with emphasis on when each technique is appropriate and how to use it. This third edition, fully revised, updated, and expanded, reflects the most current evolution in the methods for data analysis in management and the social sciences. In particular, this edition includes:
ยท A new chapter on the analysis of mediation and moderation effects
ยท Examples using STATA for most of the statistical methods
ยท Example of XLSTAT applications
Featuring numerous examples, the book may serve as an advanced text or as a resource for applied researchers in industry who want to understand the foundations of the methods particularly relevant and typically used in management research, and to learn how they can be applied using widely available statistical software.
โฆ Table of Contents
Front Matter....Pages i-xv
Introduction....Pages 1-8
Multivariate Normal Distribution....Pages 9-29
Reliability Alpha, Principal Component Analysis, and Exploratory Factor Analysis....Pages 31-76
Confirmatory Factor Analysis....Pages 77-154
Multiple Regression with a Single Dependent Variable....Pages 155-186
System of Equations....Pages 187-216
Canonical Correlation Analysis....Pages 217-230
Categorical Dependent Variables....Pages 231-268
Rank-Ordered Data....Pages 269-296
Error in Variables: Analysis of Covariance Structure โ Structural Equation Models....Pages 297-348
Testing Mediation and Moderation Effects....Pages 349-452
Cluster Analysis....Pages 453-485
Analysis of Similarity and Preference Data....Pages 487-542
Appendices....Pages 543-559
Back Matter....Pages 561-563
โฆ Subjects
Management/Business for Professionals;Marketing;Statistics for Business/Economics/Mathematical Finance/Insurance
๐ SIMILAR VOLUMES
<p><P><EM>Statistical Analysis of Management Data</EM> provides a comprehensive approach to multivariate statistical analyses that are important for researchers in all fields of management, including finance, production, accounting, marketing, strategy, technology, and human resources. This book is
This book covers multivariate statistical analyses that are important for researchers in all fields of management whether finance, production, accounting, marketing, strategy, technology or human resources management. Although multivariate statistical techniques such as those described in this book
<p>The contributions in this book connect Probability Theory/Statistics and Fuzzy Set Theory in different ways. Some of these connections are either philosophical or theoretical in nature, but most of them state models and methods to work with fuzzy data (or fuzzy perception) when dealing with rando
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