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Product Identifiers
PublisherCambridge University Press
ISBN-100521866731
ISBN-139780521866736
eBay Product ID (ePID)52870902
Product Key Features
Number of Pages236 Pages
LanguageEnglish
Publication NamePrinciples of Statistical Inference
Publication Year2006
SubjectProbability & Statistics / General
TypeTextbook
Subject AreaMathematics
AuthorD. R. Cox
FormatHardcover
Dimensions
Item Height0.6 in
Item Weight18.4 Oz
Item Length9.2 in
Item Width6.2 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2006-297166
Reviews"Cox's Principles aims to describe and discuss fundamental tenets of statistical inference without deriving or proving anything. The result, a no-math tour through all of the major results, clearly achieves this aim and does so without "dumbing down" the subject in the least. On the contrary, the arguments leading up to important results and the discussions of the role of these results in statistical theory and practice are thorough and sophisticated. There are equations, used when equations are naturally needed to explain something. There just aren't any proofs. The point is not to show the reader how to do mathematical statistics, but rather to explain to the reader what principles are involved in the process and why they are important. The focus is on the thinking rather than the mathematics. By eschewing the purely mathematical results, Cox is able to bring depth and perspective to a variety of implications, special cases, and counter-examples. Biometrics, '… ideally suited for statisticians at all levels who want to refresh their own understanding of the theory of statistical inference without having to wade through theorems and proofs.' Biometrics, 'This is a great book by a great statistician. Buy it and read it.' Journal of the American Statistical Association, 'The text is very well written and gives a balanced view of the frequentist and Bayesian notions of probability, without favouring one over the other.' Journal of Applied Statistics, "On one level, it is a very useful and interesting introduction to statistical theory. On another level, it is a welcome personal statement by one of the foremost contributors to the foundations of inference." M.E. Thompson, University of Waterloo, ISI Short Book Reviews, The explanations of key concepts are written so clearly... that they may be understood even if the mathematical details are skipped. Hence, Principles of Statistical Inference may serve as a resource even for those without the necessary mathematical background to understand all the details. Sarah Boslaugh, MAA Online Read This!|9780521866736|, 'The explanations of key concepts are written so clearly ... that they may be understood even if the mathematical details are skipped.' MAA Online, 'A deep and beautifully elegant overview of statistical inference, from one of the towering figures who created modern statistics. This book should be essential reading for all who call themselves 'statistician'.' David Hand, Imperial College London, 'The explanations of key concepts are written so clearly … that they may be understood even if the mathematical details are skipped.' MAA Online, "A deep and beautifully elegant overview of statistical inference, from one of the towering figures who created modern statistics. This book should be essential reading for all who call themselves 'statistician'." David Hand, Imperial College London, "This is a great book by a great statistician. Buy it and read it." Ronald Christensen, Journal of the American Statistical Association, The explanations of key concepts are written so clearly... that they may be understood even if the mathematical details are skipped. Hence, Principles of Statistical Inference may serve as a resource even for those without the Sarah Boslaugh, MAA Online Read This!|9780521866736|
Dewey Edition22
IllustratedYes
Dewey Decimal519.54
Table Of ContentPreface; 1. Preliminaries; 2. Some concepts and simple applications; 3. Significance tests; 4. More complicated situations; 5. Some interpretational issues; 6. Asymptotic theory; 7. Further aspects of maximum likelihood; 8. Additional objectives; 9. Randomization-based analysis; Appendix A. A brief history; Appendix B. A personal view; References; Author index; Index.
SynopsisIn this definitive book, D. R. Cox gives a comprehensive and balanced appraisal of statistical inference. He develops the key concepts, describing and comparing the main ideas and controversies over foundational issues that have been keenly argued for more than two-hundred years. Continuing a sixty-year career of major contributions to statistical thought, no one is better placed to give this much-needed account of the field. An appendix gives a more personal assessment of the merits of different ideas. The content ranges from the traditional to the contemporary. While specific applications are not treated, the book is strongly motivated by applications across the sciences and associated technologies. The mathematics is kept as elementary as feasible, though previous knowledge of statistics is assumed. The book will be valued by every user or student of statistics who is serious about understanding the uncertainty inherent in conclusions from statistical analyses., No one is better placed than D. R. Cox to give the comprehensive, balanced account of the theory of statistical inference, its main ideas and controversies, that is now needed. This book is for every serious user or student of statistics - for anyone serious about the scientific understanding of uncertainty.
LC Classification NumberQA276
