Unbiased Estimators And Their Applications
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Unbiased Estimators And Their Applications
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Author : V.G. Voinov
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Unbiased Estimators And Their Applications written by V.G. Voinov and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.
Statistical inferential methods are widely used in the study of various physical, biological, social, and other phenomena. Parametric estimation is one such method. Although there are many books which consider problems of statistical point estimation, this volume is the first to be devoted solely to the problem of unbiased estimation. It contains three chapters dealing, respectively, with the theory of point statistical estimation, techniques for constructing unbiased estimators, and applications of unbiased estimation theory. These chapters are followed by a comprehensive appendix which classifies and lists, in the form of tables, all known results relating to unbiased estimators of parameters for univariate distributions. About one thousand minimum variance unbiased estimators are listed. The volume also contains numerous examples and exercises. This volume will serve as a handbook on point unbiased estimation for researchers whose work involves statistics. It can also be recommended as a supplementary text for graduate students.
Unbiased Estimators And Their Applications
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Author : V.G. Voinov
language : en
Publisher: Springer Science & Business Media
Release Date : 1996-01-31
Unbiased Estimators And Their Applications written by V.G. Voinov and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-01-31 with Mathematics categories.
This volume is a continuation of Unbiased Estimators and Their Applications, Vol. I: Univariate Case. It contains problems of parametric point estimation for multivariate probability distributions emphasizing problems of unbiased estimation. The volume consists of four chapters dealing, respectively, with some basic properties of multivariate continuous and discrete distributions, the general theory of point estimation in multivariate case, techniques for constructing unbiased estimators and applications of unbiased estimation theory in the multivariate case. These chapters contain numerous examples, many applications and are followed by a comprehensive Appendix which classifies and lists, in the form of tables, all known results relating to unbiased estimators of parameter functions for multivariate distributions. Audience: This volume will serve as a handbook on point unbiased estimation for researchers whose work involves statistics. It can also be recommended as a supplementary text for undergraduate and graduate students.
Unbiased Estimators And Their Applications
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Author : Vasilij Grigorʹevič Voinov
language : en
Publisher:
Release Date : 1993
Unbiased Estimators And Their Applications written by Vasilij Grigorʹevič Voinov and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Estimation theory categories.
Unbiased Estimators And Their Applications
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Author : Vasilij Grigor'evič Vojnov
language : en
Publisher:
Release Date : 1993
Unbiased Estimators And Their Applications written by Vasilij Grigor'evič Vojnov and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Estimation theory categories.
Unbiased Estimators And Their Applications
DOWNLOAD
Author : V.G. Voinov
language : en
Publisher: Springer
Release Date : 1996-01-31
Unbiased Estimators And Their Applications written by V.G. Voinov and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-01-31 with Mathematics categories.
This volume is a continuation of Unbiased Estimators and Their Applications, Vol. I: Univariate Case. It contains problems of parametric point estimation for multivariate probability distributions emphasizing problems of unbiased estimation. The volume consists of four chapters dealing, respectively, with some basic properties of multivariate continuous and discrete distributions, the general theory of point estimation in multivariate case, techniques for constructing unbiased estimators and applications of unbiased estimation theory in the multivariate case. These chapters contain numerous examples, many applications and are followed by a comprehensive Appendix which classifies and lists, in the form of tables, all known results relating to unbiased estimators of parameter functions for multivariate distributions. Audience: This volume will serve as a handbook on point unbiased estimation for researchers whose work involves statistics. It can also be recommended as a supplementary text for undergraduate and graduate students.
Unbiased Estimators And Their Applications
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Author : Vasiliĭ Grigorʹevich Voinov
language : en
Publisher: Springer
Release Date : 1993
Unbiased Estimators And Their Applications written by Vasiliĭ Grigorʹevich Voinov and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Business & Economics categories.
Statistical inferential methods are widely used in the study of various physical, biological, social, and other phenomena. Parametric estimation is one such method. Although there are many books which consider problems of statistical point estimation, this volume is the first to be devoted solely to the problem of unbiased estimation. It contains three chapters dealing, respectively, with the theory of point statistical estimation, techniques for constructing unbiased estimators, and applications of unbiased estimation theory. These chapters are followed by a comprehensive appendix which classifies and lists, in the form of tables, all known results relating to unbiased estimators of parameters for univariate distributions. About one thousand minimum variance unbiased estimators are listed. The volume also contains numerous examples and exercises. This volume will serve as a handbook on point unbiased estimation for researchers whose work involves statistics. It can also be recommended as a supplementary text for graduate students.
The Application Of Invariance To Unbiased Estimation
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Author : Morris L. Eaton
language : en
Publisher:
Release Date : 1970
The Application Of Invariance To Unbiased Estimation written by Morris L. Eaton and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with Estimation theory categories.
A relatively easy method is discussed for constructing minimum variance unbiased estimates of nonstandard parametric functions under a variety of statistical model assumptions. The most important assumption is that the family of given distributions be invariant under a group of transformations. Estimation of the reliability function of an aircraft is an important application, as is estimation of moments of transformed data. The results are applied to unbiased estimation in the multivariate normal distribution and to a problem involving U-statistics. (Author).
T Classes Of Linear Estimators And The Thoery Of Successive Sampling
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Author : Tikkiwal, G.C.
language : en
Publisher: Scientific Publishers
Release Date : 2010-06-01
T Classes Of Linear Estimators And The Thoery Of Successive Sampling written by Tikkiwal, G.C. and has been published by Scientific Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-01 with categories.
The book is concerned with the study of different classes of linear estimators in survey sampling, known as T-classes of linear estimators and the theory of successive sampling. The theory of classification of linear estimators in different classes has been developed mainly by Horvitz and Thompson, Godambe, Koop, Prabhu Ajgaonkar, Tikkiwal and the theory of successive sampling by Jessen, Yates, Paterson, Tikkiwal and others. The book presents a detailed study of all the seven T-classes along with the unified theory of unordering. It also discusses the technique of combined unordering and its applications. The chapter on the theory of successive sampling deals with the theory under less restrictive assumptions for finite population, there by making it possible to obtain the main results given in text books on survey sampling, as a special case of the these results. The theory of T-classes along with the theory of successive sampling provide more serviceable estimation procedure based on the time honoured principles of inference than the one provided by Basu, Godambe and others. The material present in this book is meant for one specialised sample survey course in semester scheme for the post graduate students of statistics. Therefore, it can be used as a text book. The book is also useful for research students and faculty engaged in research on theoretical foundations of inference from finite population.
Algorithms For Communications Systems And Their Applications
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Author : Nevio Benvenuto
language : en
Publisher: John Wiley & Sons
Release Date : 2002-10-11
Algorithms For Communications Systems And Their Applications written by Nevio Benvenuto and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-10-11 with Technology & Engineering categories.
This volume presents the logical arithmetical or computational procedures within communications systems that will ensure the solution to various problems. The authors comprehensively introduce the theoretical elements that are at the basis of the field of algorithms for communications systems. Various applications of these algorithms are then illustrated with particular attention to wired and wireless network access technologies. * Provides a complete treatment of algorithms for communications systems, rarely presented together * Introduces the theoretical background to digital communications and signal processing * Features numerous applications including advanced wireless modems and echo cancellation techniques * Includes useful reference lists at the end of each chapter Graduate students in the fields of Telecommunications and Electrical Engineering Researchers and Professionals in the area of Digital Communications, Signal Processing and Computer Engineering will find this book invaluable.
Probability And Mathematical Statistics Theory Applications And Practice In R
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Author : Mary C. Meyer
language : en
Publisher: SIAM
Release Date : 2019-06-24
Probability And Mathematical Statistics Theory Applications And Practice In R written by Mary C. Meyer and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-24 with Mathematics categories.
This book develops the theory of probability and mathematical statistics with the goal of analyzing real-world data. Throughout the text, the R package is used to compute probabilities, check analytically computed answers, simulate probability distributions, illustrate answers with appropriate graphics, and help students develop intuition surrounding probability and statistics. Examples, demonstrations, and exercises in the R programming language serve to reinforce ideas and facilitate understanding and confidence. The book’s Chapter Highlights provide a summary of key concepts, while the examples utilizing R within the chapters are instructive and practical. Exercises that focus on real-world applications without sacrificing mathematical rigor are included, along with more than 200 figures that help clarify both concepts and applications. In addition, the book features two helpful appendices: annotated solutions to 700 exercises and a Review of Useful Math. Written for use in applied masters classes, Probability and Mathematical Statistics: Theory, Applications, and Practice in R is also suitable for advanced undergraduates and for self-study by applied mathematicians and statisticians and qualitatively inclined engineers and scientists.