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This book on multivariate models, statistical inference, and data analysis contains deep coverage of multivariate non-normal distributions for modeling of binary, count, ordinal, and extreme value response data. It is virtually self-contained, and includes many exercises and unsolved problems.
- Sales Rank: #1264210 in Books
- Published on: 1997-05-01
- Released on: 1997-01-01
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 8.50" h x .95" w x 5.51" l, 1.67 pounds
- Binding: Hardcover
- 424 pages
Review
"Both mathematical and applied researchers in multivariate dependence concepts would benefit from reading this rigorous book, which is designed as graduate level textbook Some notable features of the book include the construction of non-normal multivariate distributions, copulas Frichet classes, unsolved problems, and exhaustive reference list, and a three-page description of notation and abbreviations The book is a good collection of ideas and formulas certainly valuable for researchers in dependency concepts since it deals with several unsolved problems." -Ramalingam Shanmugam in Journal of Mathematical Psychology, Vol. 46 (2002)
About the Author
Bina Joe is a Professor and Chair of Physiology and Pharmacology and the founding Director of the Center for Hypertension and Personalized Medicine at the University of Toledo College of Medicine. She is also a Fellow of the American Heart Association and the Cardiovascular section of the American Physiological Society. She is an international leading authority in the research area of Genetics of Hypertension, and has identified several novel genetic factors linked to the inheritance of hypertension. She is the recipient of several Research Awards including the Young Scholar Award from the American Society of Hypertension, the Lewis K. Dahl Memorial Lecture Award from the American Heart Association Council on Hypertension and the Outstanding Researcher Award from the University of Toledo. Her research work is published in several top tier journals including PNAS, Cell and Nature Communications. Besides being an internationally recognized Researcher, she has taken on multiple leadership positions within the American Physiological Society and the American Heart Association. Notably, she has contributed substantially to the development of the Physiological Genomics group of the American Physiological Society and was recognized with a Distinguished Service Award. She has served on the Editorial Board of Hypertension and is the current Editor of the Journal, Physiological Genomics.
Most helpful customer reviews
37 of 38 people found the following review helpful.
very specialized topic
By Michael R. Chernick
Joe has written a book about multivariate dependencies. This is really a side topic to multivariate analysis which deals with concepts of dependence among variables. These dependencies lead to probability inequalities. This includes concepts like association, total positivity and majorization. These topics are important at times in proving statistical theorems particularly with regard to asymptotic theory. But if you do not specialize in such things you may not find it very interesting or useful. The new book by Marshall and Olkin deals with these methods in determining properties of lifetime distributions. Their earlier book on majorization is a classic and gives more comprehensive coverage of probability inequalities for multivariate data.
0 of 0 people found the following review helpful.
This 1997 book is a great reference to accompany with the new Dependence Modeling with ...
By Gee Yul Lee
This 1997 book is a great reference to accompany with the new Dependence Modeling with Copulas, written by the same author, published in 2015.
0 of 0 people found the following review helpful.
Five Stars
By Ping Xiao
very good
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