Minimax Estimation with Respect to Restricted Parameter Sets PDF Download
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Author: Soebanar
Publisher:
ISBN:
Category :
Languages : en
Pages : 232
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Book Description
Author: Soebanar
Publisher:
ISBN:
Category :
Languages : en
Pages : 232
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Book Description
Author: Constance van Eeden
Publisher: Springer Science & Business Media
ISBN: 038748809X
Category : Mathematics
Languages : en
Pages : 172
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Book Description
This monograph is addressed to anyone interested in the subject of restrict- parameter-space estimation, and in particular to those who want to learn, or bring their knowledge up to date, about (in)admissibility and minimaxity problems for such parameter spaces. The coverage starts in the early 1950s when the subject of inference for - stricted parameter spaces began to be studied and ends around the middle of 2004. It presents known, and also some new, results on (in)admissibility and minimaxity for nonsequential point estimation problems in restricted ?ni- dimensional parameter spaces. Relationships between various results are d- cussed and open problems are pointed out. Few complete proofs are given, but outlines of proofs are often supplied. The reader is always referred to the published papers and often results are clari?ed by presenting examples of the kind of problems an author solves, or of problems that cannot be solved by a particular result. The monograph does not touch on the subject of testing hypotheses in - stricted parameter spaces. The latest books on that subject are by Robertson, Wright and Dykstra (1988) and Akkerboom (1990), but many new results in that area have been obtained since. The monograph does have a chapter in which questions about the existence of maximum likelihood estimators are discussed. Some of their properties are also given there as well as some algorithms for computing them. Most of these results cannot be found in the Robertson, Wright, Dykstra book.
Author:
Publisher: Elsevier
ISBN: 0444534385
Category : Probabilities
Languages : en
Pages : 667
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Book Description
Author:
Publisher: Morgan Kaufmann
ISBN: 0080963544
Category : Mathematics
Languages : en
Pages : 667
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Book Description
Handbook of Statistics_29B contains the most comprehensive account of sample surveys theory and practice to date. It is a second volume on sample surveys, with the goal of updating and extending the sampling volume published as volume 6 of the Handbook of Statistics in 1988. The present handbook is divided into two volumes (29A and 29B), with a total of 41 chapters, covering current developments in almost every aspect of sample surveys, with references to important contributions and available software. It can serve as a self contained guide to researchers and practitioners, with appropriate balance between theory and real life applications. Each of the two volumes is divided into three parts, with each part preceded by an introduction, summarizing the main developments in the areas covered in that part. Volume 1 deals with methods of sample selection and data processing, with the later including editing and imputation, handling of outliers and measurement errors, and methods of disclosure control. The volume contains also a large variety of applications in specialized areas such as household and business surveys, marketing research, opinion polls and censuses. Volume 2 is concerned with inference, distinguishing between design-based and model-based methods and focusing on specific problems such as small area estimation, analysis of longitudinal data, categorical data analysis and inference on distribution functions. The volume contains also chapters dealing with case-control studies, asymptotic properties of estimators and decision theoretic aspects. - Comprehensive account of recent developments in sample survey theory and practice - Covers a wide variety of diverse applications - Comprehensive bibliography
Author: North-Holland Publishing Company
Publisher:
ISBN:
Category :
Languages : en
Pages : 1300
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Book Description
Author: Marc Moore
Publisher: IMS
ISBN: 9780940600577
Category : Mathematical statistics
Languages : en
Pages : 532
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Book Description
Author: Marvin Gruber
Publisher: Routledge
ISBN: 1351439154
Category : Mathematics
Languages : en
Pages : 664
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Book Description
Offers a treatment of different kinds of James-Stein and ridge regression estimators from a frequentist and Bayesian point of view. The book explains and compares estimators analytically as well as numerically and includes Mathematica and Maple programs used in numerical comparison.;College or university bookshops may order five or more copies at a special student rate, available on request.
Author: Jürgen Groß
Publisher: Springer Science & Business Media
ISBN: 364255864X
Category : Mathematics
Languages : en
Pages : 400
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Book Description
The book covers the basic theory of linear regression models and presents a comprehensive survey of different estimation techniques as alternatives and complements to least squares estimation. Proofs are given for the most relevant results, and the presented methods are illustrated with the help of numerical examples and graphics. Special emphasis is placed on practicability and possible applications. The book is rounded off by an introduction to the basics of decision theory and an appendix on matrix algebra.
Author: Herman Rubin
Publisher: IMS
ISBN: 9780940600614
Category : Bayesian statistical decision theory
Languages : en
Pages : 442
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Book Description
Author: Adrian E. Raftery
Publisher: CRC Press
ISBN: 1420035398
Category : Mathematics
Languages : en
Pages : 571
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Book Description
This volume discusses an important area of statistics and highlights the most important statistical advances. It is divided into four sections: statistics in the life and medical sciences, business and social science, the physical sciences and engineering, and theory and methods of statistics.
