Multivariate Data Analysis, by Joseph Hair, Rolph Anderson, Bill Black, Barry Babin
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Multivariate Data Analysis, by Joseph Hair, Rolph Anderson, Bill Black, Barry Babin
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For graduate and upper-level undergraduate marketing research courses. For over 30 years, Multivariate Data Analysis has provided readers 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 readers how to understand and make use of the results of specific statistical techniques. In this Seventh Edition, 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. Multivariate Data Analysis, by Joseph Hair, Rolph Anderson, Bill Black, Barry Babin- Amazon Sales Rank: #552878 in eBooks
- Published on: 2015-06-24
- Released on: 2015-06-24
- Format: Kindle eBook
From the Back Cover 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 TechniquesMARKET: 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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11 of 12 people found the following review helpful. THE BEST REFERENCE FOR PHD STUDENT.....YOU ALL SHOULD HAVE ONE... By Azmizam Abdul Rashid Multivariate data analysis is a central tool whenever several variables need to be considered at the same time. The present book explains a powerful and versatile way to analyse data tables, suitable also for researchers without formal training in statistics.The analysis of multivariate data requires the extension of standard univariate statistical models and methods but also introduces new problems. Initial attention is given to Data Mining techniques such as summarising and displaying high dimensional data and to ways of reducing multivariate problems to more manageable univariate ones. This is followed by routine generalisations of standard distributions and statistical tests before consideration of new strategies for constructing hypothesis tests. Finally, problems specific to multivariate data such as discrimination and classification (use in medical diagnosis problems for example) are studied. Most of these methods can be implemented in standard computer packages.This book shows that multivariate analysis are:- Design for capability (also known as capability-based design)- Inverse design, where any variable can be treated as an independent variable- Analysis of Alternatives (A0A), the selection of concepts to fulfill a customer need- Analysis of concepts with respect to changing scenarios- Identification of critical design drivers and correlations across hierarchical levels.Thank you to Joseph F. Hair, Ronald L. Tatham, Rolph E. Anderson, William Black for their excellent job..make my research so easy. Every Phd should have this book.
5 of 5 people found the following review helpful. Understanding complex statistics By Jo Anne Carrick This book was referred to me while I was writing the data analysis chapter of my dissertation. What a good find. I thought I understood multivariate analysis but this gives you practical and clear appliacations that make sense. A must reference if your work goes beyond the simple t-test.
7 of 8 people found the following review helpful. The BEST stats book anywhere By Stellagirl This is my all time favorite stats book. It's very easy to read and yet is authoritative and comprehensive. The book is designed to promote a real understanding of the topic. Each chapter includes: glossary and quick overview at the beginning of the chapter, to orient the reader to the chapter; description of the theory; an application; example of programming code; summary. The writing style is clear and easy to follow. I first read this book in graduate school. I still turn to it as a refresher. If I could own only one multivariate book, this would be it.
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