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Constrained Statistical Inference
Mervyn J. Silvapulle
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Description for Constrained Statistical Inference
Hardcover. An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics. Series: Wiley Series in Probability and Statistics. Num Pages: 532 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 242 x 161 x 31. Weight in Grams: 896.
An up-to-date approach to understanding statistical inference
An up-to-date approach to understanding statistical inference
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 ... Read more
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
Product Details
Format
Hardback
Publication date
2004
Publisher
John Wiley and Sons Ltd United States
Number of pages
532
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
532
Place of Publication
, United States
ISBN
9780471208273
SKU
V9780471208273
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Mervyn J. Silvapulle
MERVYN J. SILVAPULLE, PhD, is an Associate Professor in the Department of Statistical Science at La Trobe University in Bundoora, Australia. He received his PhD in statistics from the Australian National University in 1981. 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 ... Read more
Reviews for Constrained Statistical Inference
"This monograph provides an excellent coverage of the last twenty years of constrained statistical inference." (Journal of the American Statistical Association, March 2006) "…an invaluable resource for any researcher with interests in constrained problems…it is easy to conclude that any statistical library would be incomplete without it." (Biometrics, December 2005) "…a valuable source of information for statisticians ... Read more