Optimization techniques are used to find the values of a set of
parameters which maximize or minimize some objective function of
interest. Such methods have become of great importance in
statistics for estimation, model fitting, etc. This text attempts
to give a brief introduction to optimization methods and their use
in several important areas of statistics. It does not pretend to
provide either a complete treatment of optimization techniques or a
comprehensive review of their application in statistics; such a
review would, of course, require a volume several orders of
magnitude larger than this since almost every issue of every
statistics journal contains one or other paper which involves the
application of an optimization method. It is hoped that the text
will be useful to students on applied statistics courses and to
researchers needing to use optimization techniques in a statistical
context. Lastly, my thanks are due to Bertha Lakey for typing the
manuscript.
General
Imprint: |
Springer
|
Country of origin: |
Netherlands |
Release date: |
October 2011 |
First published: |
1987 |
Authors: |
B. Everitt
|
Dimensions: |
229 x 152 x 12mm (L x W x T) |
Format: |
Paperback
|
Pages: |
88 |
Edition: |
Softcover reprint of the original 1st ed. 1987 |
ISBN-13: |
978-9401079174 |
Categories: |
Books >
Reference & Interdisciplinary >
Interdisciplinary studies >
General
|
LSN: |
940107917X |
Barcode: |
9789401079174 |
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