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Introduction to Statistical Inference (Paperback, Softcover reprint of the original 1st ed. 1987)
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Introduction to Statistical Inference (Paperback, Softcover reprint of the original 1st ed. 1987)
Series: Springer Texts in Statistics
Expected to ship within 10 - 15 working days
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This book is based upon lecture notes developed by Jack Kiefer for
a course in statistical inference he taught at Cornell University.
The notes were distributed to the class in lieu of a textbook, and
the problems were used for homework assignments. Relying only on
modest prerequisites of probability theory and cal culus, Kiefer's
approach to a first course in statistics is to present the central
ideas of the modem mathematical theory with a minimum of fuss and
formality. He is able to do this by using a rich mixture of
examples, pictures, and math ematical derivations to complement a
clear and logical discussion of the important ideas in plain
English. The straightforwardness of Kiefer's presentation is
remarkable in view of the sophistication and depth of his
examination of the major theme: How should an intelligent person
formulate a statistical problem and choose a statistical procedure
to apply to it? Kiefer's view, in the same spirit as Neyman and
Wald, is that one should try to assess the consequences of a
statistical choice in some quan titative (frequentist) formulation
and ought to choose a course of action that is verifiably optimal
(or nearly so) without regard to the perceived "attractiveness" of
certain dogmas and methods."
General
Imprint: |
Springer-Verlag New York
|
Country of origin: |
United States |
Series: |
Springer Texts in Statistics |
Release date: |
December 2011 |
First published: |
1987 |
Editors: |
Gary Lorden
|
Authors: |
Jack C. Kiefer
|
Dimensions: |
235 x 155 x 18mm (L x W x T) |
Format: |
Paperback
|
Pages: |
334 |
Edition: |
Softcover reprint of the original 1st ed. 1987 |
ISBN-13: |
978-1-4613-9580-5 |
Categories: |
Books >
Science & Mathematics >
Mathematics >
Applied mathematics >
General
|
LSN: |
1-4613-9580-1 |
Barcode: |
9781461395805 |
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