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Table of contents (28 chapters)
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Front Matter
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Bayesian Inference
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Front Matter
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Decision Theory
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Front Matter
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Point and Interval Estimation—Classical Approach
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Front Matter
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Tests of Hypotheses
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Front Matter
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About this book
Editors and Affiliations
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Department of Math, Southern Illinois University, Carbondale, USA
S. Panchapakesan
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Department of Mathematics and Statistics, McMaster University, Hamilton, Canada
N. Balakrishnan
Bibliographic Information
Book Title: Advances in Statistical Decision Theory and Applications
Editors: S. Panchapakesan, N. Balakrishnan
Series Title: Statistics for Industry and Technology
DOI: https://doi.org/10.1007/978-1-4612-2308-5
Publisher: Birkhäuser Boston, MA
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eBook Packages: Springer Book Archive
Copyright Information: Birkhäuser Boston 1997
Hardcover ISBN: 978-0-8176-3965-5Due: 23 September 1997
Softcover ISBN: 978-1-4612-7495-7Published: 15 September 2011
eBook ISBN: 978-1-4612-2308-5Published: 06 December 2012
Series ISSN: 2364-6241
Series E-ISSN: 2364-625X
Edition Number: 1
Number of Pages: 498
Topics: Probability Theory and Stochastic Processes, Applications of Mathematics