The Exact Density and Distribution Functions of the Inequality Constrained an PDF Download
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Author: Alan T. K. Wan
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Alan T. K. Wan
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Alan T. K. Wan
Publisher:
ISBN:
Category : Econometric models
Languages : en
Pages : 40
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Book Description
Author: Aman Ullah
Publisher: CRC Press
ISBN: 9780203911075
Category : Business & Economics
Languages : en
Pages : 754
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Book Description
Summarizing developments and techniques in the field, this reference covers sample surveys, nonparametric analysis, hypothesis testing, time series analysis, Bayesian inference, and distribution theory for applications in statistics, economics, medicine, biology, engineering, sociology, psychology, and information technology. It supplies a geometric proof of an extended Gauss-Markov theorem, approaches for the design and implementation of sample surveys, advances in the theory of Neyman's smooth test, and methods for pre-test and biased estimation. It includes discussions ofsample size requirements for estimation in SUR models, innovative developments in nonparametric models, and more.
Author:
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 670
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Author: Mervyn J. Silvapulle
Publisher: John Wiley & Sons
ISBN: 1118165632
Category : Mathematics
Languages : en
Pages : 560
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Book Description
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
Author: Odile Pons
Publisher: World Scientific
ISBN: 9814412589
Category : Mathematics
Languages : en
Pages : 232
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Book Description
The book is aimed at graduate students and researchers with basic knowledge of Probability and Integration Theory. It introduces classical inequalities in vector and functional spaces with applications to probability. It also develops new extensions of the analytical inequalities, with sharper bounds and generalizations to the sum or the supremum of random variables, to martingales and to transformed Brownian motions. The proofs of the new results are presented in great detail.
Author: Odile Pons
Publisher: World Scientific
ISBN: 9814412597
Category : Mathematics
Languages : en
Pages : 232
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Book Description
The book is aimed at graduate students and researchers with basic knowledge of Probability and Integration Theory. It introduces classical inequalities in vector and functional spaces with applications to probability. It also develops new extensions of the analytical inequalities, with sharper bounds and generalizations to the sum or the supremum of random variables, to martingales and to transformed Brownian motions. The proofs of the new results are presented in great detail.
Author: Herbert James Godwin
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 102
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Author: Vladik Kreinovich
Publisher: Springer Nature
ISBN: 3030456196
Category : Technology & Engineering
Languages : en
Pages : 271
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Book Description
Mainly focusing on processing uncertainty, this book presents state-of-the-art techniques and demonstrates their use in applications to econometrics and other areas. Processing uncertainty is essential, considering that computers – which help us understand real-life processes and make better decisions based on that understanding – get their information from measurements or from expert estimates, neither of which is ever 100% accurate. Measurement uncertainty is usually described using probabilistic techniques, while uncertainty in expert estimates is often described using fuzzy techniques. Therefore, it is important to master both techniques for processing data. This book is highly recommended for researchers and students interested in the latest results and challenges in uncertainty, as well as practitioners who want to learn how to use the corresponding state-of-the-art techniques.
Author:
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 930
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Book Description
