Statistical inference
Author(s)
Bibliographic Information
Statistical inference
(Monographs on statistics and applied probability, 7)
Chapman and Hall, 1975
[1st ed.], reprinted with corrections
Related Bibliography 1 items
-
-
Statistical inference / S.D. Silvey
BA01042462
-
Statistical inference / S.D. Silvey
Available at 16 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
-
Research Institute for Economics & Business Administration (RIEB) Library , Kobe University図書
519.5-16081210302046
Note
Originally published: Harmondsworth : Penguin, 1970
Bibliography: p. 188-189
Includes index
Description and Table of Contents
Description
Statistics is a subject with a vast field of application, involving problems which vary widely in their character and complexity.However, in tackling these, we use a relatively small core of central ideas and methods. This book attempts to concentrateattention on these ideas: they are placed in a general settingand illustrated by relatively simple examples, avoidingwherever possible the extraneous difficulties of complicatedmathematical manipulation.In order to compress the central body of ideas into a smallvolume, it is necessary to assume a fair degree of mathematicalsophistication on the part of the reader, and the book is intendedfor students of mathematics who are already accustomed tothinking in rather general terms about spaces and functions
Table of Contents
Preface, 1: Introduction, 2: Minimum-Variance Unbiased Estimation, 3: The Method of Least Squares, 4: The Method of Maximum Likelihood, 5: Confidence Sets, 6: Hypothesis Testing, 7: The Likelihood-Ratio Test and Alternative 'Large-Sample' Equivalents of it, 8: Sequential Tests, 9: Non-Parametric Methods, 10: The Bayesian Approach, 11: An Introduction to Decision Theory, Appendix A Some Matrix Results, Appendix B The Linear Hypothesis, References, Index
by "Nielsen BookData"