Ebook Free Multivariate Data Analysis, by Joseph F. Hair, Rolph E. Anderson, Ronald L. Tatham
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Multivariate Data Analysis, by Joseph F. Hair, Rolph E. Anderson, Ronald L. Tatham
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- Sales Rank: #3412035 in Books
- Published on: 1987-06
- Original language: English
- Number of items: 1
- Binding: Hardcover
- 420 pages
From the Publisher
Well-suited for the non-statistician, this applications-oriented introduction to multivariate analysis greatly reduces the amount of statistical notation and terminology used while focusing instead on the fundamental concepts that affect the use of specific techniques. The fourth edition of this trusted text features an innovative and widely applicable six-step framework for each chapter, and the traditionally strong complement of revisited examples used throughout.
From the Back Cover
Key Benefit: Well-suited for the non-statistician, this applications- oriented introduction to multivariate analysis greatly reduces the amount of statistical notation and terminology used while focusing instead on the fundamental concepts that affect the use of specific techniques. Features an innovative and widely applicable six-step framework for each chapter, and the traditionally strong complement of revisited examples used throughout. Key Topics: Includes detailed guidelines on approaches for interpretation of results. Contains readings in each chapter which emphasize the applications of the techniques. Presents step-by-step flowcharts for each technique, illustrating major issues in each and offering a clear graphical portrayal of the decision process used in applying each technique. Includes a new chapter encompassing the issues of handling missing data, testing and resolving statistical assumption issues, and outlier detection. Revised material on factor, MANOVA, multiple analysis regression and canonical correlation.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Review of Multivariate Data Analysis
By Lin Sam
This is a good book for new learner in Statistics. It illustrates details of how an analyst apply a method into the certain type of data. When you feel confused of what type of statistics techniques you need, this book will be a good handbook for you. But as well this book is not so advanced to tell you how to prove the functions or methods mathematically and professionally.
3 of 3 people found the following review helpful.
A must for anyone doing advanced level statistics!
By A Customer
A very informative and useful handbook for both practitioners
and students. Each section provides a glossary, the
statistic's theoretical assumptions, a step-by-step outline,
a sample article that uses the statistics, and most importantly,
the command code for SPSS and SAS.
A must for anyone doing advanced level statistics!
1 of 1 people found the following review helpful.
Easy to learn and give you much are the book's merits.
By A Customer
This book teaches us a lot of methods in multivariate data analysis and the use of a model-building paradigm makes it easy to learn multivariate data analysis
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