Constrained Statistical Inference: Order, Inequality, and Shape Constraints
Language: English
Published by Wiley-Interscience November 2004, 2004
- Hardcover
- Used
Seller: Magus Books Seattle, Seattle, WA, U.S.A.Magus Books Seattle
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Condition: Used - Very good
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Add to basketItem description from seller
used hardcover copy in illustrated boards, no jacket, as issued. light shelfwear, corners perhaps slightly bumped, a couple of nicks to outer edge of cover. previous owner's name on front endsheet. pages and binding are clean, straight and tight. there are no marks to the text or other serious flaws.
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- Title
- Constrained Statistical Inference: Order, Inequality, and Shape Constraints
- Author
- Mervyn J. Silvapulle,Pranab Kumar Sen
- Publisher
- Wiley-Interscience November 2004
- Publication year
- 2004
- Condition
- VG-
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0471208272
- ISBN 13
- 9780471208273
- Seller catalogs
- MATH statistics
Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics. This volume enables professionals in these and related fields to master the concepts of statistical inference under inequality constraints and to apply the theory to problems in a variety of areas.
Constrained Statistical Inference: Order, Inequality, and Shape Constraints provides a unified and up-to-date treatment of the methodology. It clearly illustrates concepts with practical examples from a variety of fields, focusing on sociology, econometrics, and biostatistics.
The authors also discuss a broad range of other inequality-constrained inference problems that do not fit well in the contemplated unified framework, providing a meaningful way for readers to comprehend methodological resolutions.
Chapter coverage includes:
- Population means and isotonic regression
- Inequality-constrained tests on normal means
- Tests in general parametric models
- Likelihood and alternatives
- Analysis of categorical data
- Inference on monotone density function, unimodal density function, shape constraints, and DMRL functions
- Bayesian perspectives, including Stein’s Paradox, shrinkage estimation, and decision theory
"Synopsis" may belong to another edition of this title.
About the Author
PRANAB K. SEN, PhD, is a Professor in the Departments of Biostatistics and Statistics and Operations Research at the University of North Carolina at Chapel Hill. He received his PhD in 1962 from Calcutta University, India.
"About the title" may belong to another edition of this title.
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