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Models and likelihood are the backbone of modern statistics and data analysis. The coverage is unrivaled, with sections on survival analysis, missing data, Markov chains, Markov random fields, point processes, graphical models, simulation and Markov chain Monte Carlo, estimating functions, asymptotic approximations, local likelihood and spline regressions as well as on more standard topics. Anthony Davison blends theory and practice to provide an integrated text for advanced undergraduate and graduate students, researchers and practicioners. Its comprehensive coverage makes this the standard text and reference in the subject.
- Sales Rank: #979820 in Books
- Brand: Brand: Cambridge University Press
- Published on: 2008-06-30
- Original language: English
- Number of items: 1
- Dimensions: 9.96" h x 1.46" w x 6.97" l, 2.75 pounds
- Binding: Paperback
- 738 pages
- Used Book in Good Condition
Review
"Davison provides sound statistical tools to tackle applications in a concise, succinct tutelage, yet without abandoning mathematical sophistication or detail...a wonderfully rich treatise of cleverly attended-to examples and charming asides...we actually learned a lot and deepened our understanding of many topics."
Technometrics
"The volume presents a comprehensive treatment of modern parametric statistical inference. The exposition is concise; instead of giving detailed (technical) proofs, the author prefers to sketch the underlying concepts and gives references, if necessary. The numerous examples are taken from a variety of fields and are lively discussed. The book is accompanied by practical analyses in S or R that can be downloaded from the author's website and make it even more useful, also for teaching purposes...I highly recommend this book to anyone who is seriously engaged in the statistical analysis of data or in teaching statistics."
Biometrics
"I like this book a lot. It is really a pleasure to read. The 700 pages offer a good initial synopsis of what is going on in modern statistics. The book is lively, full of data, and packed with ideas. The author has put a lot of energy, effort, care, and intellectual input into the book. I would definitely recommend this text, both to students and to colleagues."
The American Statistician
"Anybody who is seriously involved in the theory or practice of statistics would be well advised to ensure that they have access to a copy."
International Statistical Institute
"...comprehensive and well written... an excellent reference book for health researchers who are unfamiliar with details of any statistical methodology."
Ramalingam Shanmugam, Texas State University
"...comprehensive and well written...an excellent reference book for health researchers who are unfamiliar with details of any statistical methodology."
Ramalingam Shanmugam, Texas State University
About the Author
Anthony Davison is a Professor of Statistics at the Ecole Polytechnique Federale de Lausanne.
Most helpful customer reviews
6 of 6 people found the following review helpful.
A "must" book in any statistician's library
By Vahid Partovi Nia
Anthony Davison is one of the rare applied statisticians with in-depth knowledge in statistical theory. He is an excellent researcher and lecturer. Anthony is the editor of Biometrika, one of the most prestigious methodological journals in statistics, for couple of years.
Take a look at the content of the book and you will see that it covers almost everything that a researcher requires to know about statistics. I would summarize this book as what is useful in statistics to learn, with focus on methodology. This book is difficult to use as a textbook, and much more suitable as a reference. I can even call it the bible of statistics. The fundamental ideas in statistics are clearly explained, and argued with excellent motivating examples. Exercises are even better and completes the lecture, but they are not trivial at all. Some of the exercises are simpler versions of a research problem, being borrowed from a research article. You need some knowledge of mathematics in the level of calculus-based probability and statistics to start reading this text. After finishing the book you will have a general picture of what is statistics.
8 of 9 people found the following review helpful.
Good book on statical models
By Kjell Oevergaard
The book is well worth reading, especially for those of us who are not well versed in matematics and matematical formalism. Some background in basic frequentist and/or Bayesian statistics is needed. Otherwise the book is easy to read and the real life application of the examples is easy to apply.
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