Constrained Statistical Inference 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Silvapulle, Mervyn J./ Sen, Pranab Kumar 作者

John Wiley & Sons Inc

译者

2004-11 出版日期

532 页数

1897.00元价格

HRD

丛书系列

9780471208273 图书编码

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Constrained Statistical Inference 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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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 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

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