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Theoretical Statistics de D. R. Cox

Theoretical Statistics

Autor D. R. Cox, D.V. Hinkley
en Limba Engleză Hardback – 10 noi 2017
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.
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Specificații

ISBN-13: 9781138469600
ISBN-10: 1138469602
Pagini: 528
Dimensiuni: 156 x 234 x 36 mm
Greutate: 0.91 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Locul publicării:Boca Raton, United States

Public țintă

Professional

Recenzii

"...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

Cuprins

Preface, Chapter 1 Introduction, Chapter 2 Some general concepts, Chapter 3 Pure significance tests, Chapter 4 Significance tests: simple null hypotheses, Chapter 5 Significance tests: composite null hypotheses, Chapter 6 Distribution-free and randomization tests, Chapter 7 Interval estimation, Chapter 8 Point estimation, Chapter 9 Asymptotic theory, Chapter 10 Bayesian methods, Chapter 11 Decision theory, Appendix 1 Determination of probability distributions, Appendix 2 Order statistics, Appendix 3 Second-order regression for arbitrary random, References, Author Index, Subject Index

Descriere

This text provides a systematic statement of the theory of statistics, with emphasis placed on general concepts rather than on mathematical rigour. A familiarity with standard statistical techniques is assumed.