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OCoLC |
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20220616052730.0 |
| 008 |
120221s2012 enk b 001 0 eng |
| 010 |
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|a 2012007503
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| 020 |
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|a 9781107004740 (hardback)
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|a 1107004748 (hardback)
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| 035 |
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|a (CaEvSKY)sky246759289
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|a (OCoLC)779244870
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|c DLC
|d UtOrBLW
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|a pcc
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|a EEME
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0 |
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|a QA276.8
|b .R57 2012
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| 082 |
0 |
0 |
|a 519.5/44
|2 23
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| 100 |
1 |
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|a Rissanen, Jorma.
|0 http://id.loc.gov/authorities/names/n88177647
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| 245 |
1 |
0 |
|a Optimal estimation of parameters /
|c Jorma Rissanen, Tampere University of Technology, Helsinki Institute for Information Technology.
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| 260 |
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|a Cambridge :
|b Cambridge University Press,
|c 2012.
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| 300 |
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|a vi, 162 pages ;
|c 26 cm
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
|
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|a unmediated
|b n
|2 rdamedia
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| 338 |
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|a volume
|b nc
|2 rdacarrier
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| 504 |
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|a Includes bibliographical references (pages [156]-160) and index.
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| 505 |
8 |
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|a Machine generated contents note: 1. Introduction; 2. Coding; 3. Basics of information; 4. Modeling problem; 5. Other optimality properties; 6. Interval estimation; 7. Hypothesis testing; 8. Denoising; 9. Sequential models; Appendix A. Elements of algorithmic information; Appendix B. Universal prior for integers.
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| 520 |
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|a "This book presents a comprehensive and consistent theory of estimation. The framework described leads naturally to a generalized maximum capacity estimator. This approach allows the optimal estimation of real-valued parameters, their number and intervals, as well as providing common ground for explaining the power of these estimators. Beginning with a review of coding and the key properties of information, the author goes on to discuss the techniques of estimation and develops the generalized maximum capacity estimator, based on a new form of Shannon's mutual information and channel capacity. Applications of this powerful technique in hypothesis testing and denoising are described in detail. Offering an original and thought-provoking perspective on estimation theory, Jorma Rissanen's book is of interest to graduate students and researchers in the fields of information theory, probability and statistics, econometrics and finance"--
|c Provided by publisher.
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| 650 |
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0 |
|a Estimation theory.
|0 http://id.loc.gov/authorities/subjects/sh85044957
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| 907 |
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|y .b98876892
|b 210127
|c 130312
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|t 0
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| 952 |
f |
f |
|p Can Circulate
|a Michigan State University-Library of Michigan
|b Michigan State University
|c MSU Remote Storage
|d MSU Remote Storage
|t 0
|e QA276.8 .R57 2012
|h Library of Congress classification
|i Printed Material
|m 31293007238326
|n 1
|
