PDF Ebook Theoretical Statistics, by D.R. Cox, D.V. Hinkley
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Theoretical Statistics, by D.R. Cox, D.V. Hinkley
PDF Ebook Theoretical Statistics, by D.R. Cox, D.V. Hinkley
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A text that stresses the general concepts of the theory of statistics Theoretical Statistics provides a systematic statement of the theory of statistics, emphasizing general concepts rather than mathematical rigor. Chapters 1 through 3 provide an overview of statistics and discuss some of the basic philosophical ideas and problems behind statistical procedures. Chapters 4 and 5 cover hypothesis testing with simple and null hypotheses, respectively. Subsequent chapters discuss non-parametrics, interval estimation, point estimation, asymptotics, Bayesian procedure, and deviation theory. Student familiarity with standard statistical techniques is assumed.
- Sales Rank: #1287024 in Books
- Published on: 1979-09-06
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x 1.19" w x 6.00" l, 1.64 pounds
- Binding: Paperback
- 528 pages
Most helpful customer reviews
32 of 32 people found the following review helpful.
best of its time, the late 1970s
By Michael R. Chernick
In the late 1970s when I was a graduate student at Stanford this was one of the best texts available on the theory of statistics at the first year graduate school level. It comes with a wealth of problems, many of which are very thought-provoking. There is a companion solutions manual that I recommend for students doing self-study. Cox and Hinkley are both excellent lecturers writers and brilliant statisticians.
This is still a very useful book although most of Bayesian inference including MCMC methodology and all of resampling theory is missing since the book was published in 1974.
12 of 16 people found the following review helpful.
Maximum Likelihood
By A Customer
I couldn't put it down! One of the most thrilling books available in maximum likelihood theory and methodology. While some examples are a little obtuse, on the whole Cox and Hinckley present the topic of the likelihood in a logical, coherent manner.
2 of 3 people found the following review helpful.
By far the best book on theoretical statistics
By Shu Yang
It is far from being the most technical one but definitely a book every statistician, applied or theoretical should read. It will help you appreciate the subject itself and think deeply about fundamental of this area. It is sad nowadays most people outside statistics, whenever in need to know more about statistics, just want to read a reciping-listing book on statistics and see whether they can immediately apply the method they find there. They don't seem to understand that there is not a cure-all method in statistics, but rather the truly universal theme in statistics is really about the fundamental ideas, which tend to be rather philosophical and sublte to digest (how frustrating this is for most statisticians, isn't it?)
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