eBook - PDF

Constrained Statistical Inference

Name: Constrained Statistical Inference
ISBN: 9781118165638

Order, Inequality, and Shape Constraints

Mervyn J. Silvapulle,

Pranab Kumar Sen,

English
PDF
Available on iOS & Android

eBook - PDF

Constrained Statistical Inference

Order, Inequality, and Shape Constraints

Mervyn J. Silvapulle,

Pranab Kumar Sen,

About this book

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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Yes, you can access Constrained Statistical Inference by Mervyn J. Silvapulle,Pranab Kumar Sen in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.