Multivariate data analysis
KEY BENEFIT: For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. Hair, et. al provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques. In this seventh revision, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques.
Preparing For a MV Analysis; Dependence Techniques; Interdependence Techniques; Moving Beyond the Basic Techniques
MARKET: Statistics and statistical research can provide managers with invaluable data. This textbook teaches them the different kinds of analysis that can be done and how to apply the techniques in the workplace.
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Review: Multivariate Data Analysisユーザー レビュー - Brijesh Bolar - Goodreads
This book was referred to me by my Professor at MICA for my PGC in Marketing Analyst. It is a very comprehensive book on marketing research and data analysis which has indepth explanation of various ... レビュー全文を読む
Review: Multivariate Data Analysisユーザー レビュー - Lawrence Linnen - Goodreads
While focusing on design, estimation, and interpretation, the authors reduce the reliance on statistical notation and terminology, and instead identify the fundamental concepts that affect the use of ... レビュー全文を読む