Product Description

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.

Product Details

• Amazon Sales Rank: #181097 in Books
• Published on: 1979-09-06
• Original language: English
• Number of items: 1
• Binding: Paperback
• 528 pages

Review
...the discussion is accessible and thought-provoking. The notes provide good entries to the literature on each chapter's topics as well as a brief historical survey of the topics...The exercises are challenging. Also of special interest are the numerous examples throughout the text.
-Technometrics

...the discussion is accessible and thought-provoking. The notes provide good entries to the literature on each chapters topics as well as a brief historical survey of the topics...The exercises are challenging. Also of special interest are the numerous examples throughout the text.
-Technometrics

Customer Reviews

best of its time, the late 1970s
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.

Maximum Likelihood
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.