Theoretical Statistics
Autor D. R. Cox, D.V. Hinkleyen Limba Engleză Paperback – 6 sep 1979
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|---|---|---|
| Paperback (1) | 971.15 lei 6-8 săpt. | |
| CRC Press – 6 sep 1979 | 971.15 lei 6-8 săpt. | |
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Specificații
ISBN-13: 9780412161605
ISBN-10: 0412161605
Pagini: 524
Dimensiuni: 156 x 234 x 28 mm
Greutate: 0.74 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Locul publicării:Boca Raton, United States
ISBN-10: 0412161605
Pagini: 524
Dimensiuni: 156 x 234 x 28 mm
Greutate: 0.74 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Locul publicării:Boca Raton, United States
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Public țintă
ProfessionalRecenzii
"...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
-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
Theoretical Statistics provides a systematic statement of the theory of statistics that emphasizes general concepts rather than mathematical rigor. Chapters one through three provide an overview of statistics and discuss some of the basic philosophical ideas and problems behind statistical procedures. Chapters four and five cover hypothesis testing with simple and null hypotheses, respectively. Subsequent chapters discuss non-parametrics, interval estimation, point estimation, asymptotics, Bayesian procedures, and deviation theory. Student familiarity with standard statistical techniques is assumed.