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Theory and Applications of Recent Robust Methods

Posted By: AvaxGenius
Date: 27 Feb 2024 01:10:14
Theory and Applications of Recent Robust Methods

Theory and Applications of Recent Robust Methods by Mia Hubert, Greet Pison, Anja Struyf, Stefan Aelst
English | PDF | 2004 | 399 Pages | ISBN : 3764370602 | 38.6 MB

Intended for both researchers and practitioners, this book will be a valuable resource for studying and applying recent robust statistical methods. It contains up-to-date research results in the theory of robust statistics.
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Local Regression and Likelihood

Posted By: AvaxGenius
Date: 11 Dec 2023 16:54:58
Local Regression and Likelihood

Local Regression and Likelihood by Clive Loader
English | PDF(True) | 1999 | 297 Pages | ISBN : 0387987754 | 3.2 MB

Separation of signal from noise is the most fundamental problem in data analysis, and arises in many fields, for example, signal processing, econometrics, acturial science, and geostatistics. This book introduces the local regression method in univariate and multivariate settings, and extensions to local likelihood and density estimation. Basic theoretical results and diagnostic tools such as cross validation are introduced along the way. Examples illustrate the implementation of the methods using the LOCFIT software.
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Introductory Statistical Inference with the Likelihood Function

Posted By: AvaxGenius
Date: 29 Sep 2023 13:30:34
Introductory Statistical Inference with the Likelihood Function

Introductory Statistical Inference with the Likelihood Function by Charles A. Rohde
English | PDF (True) | 2014 | 341 Pages | ISBN : 3319104608 | 2.5 MB

This textbook covers the fundamentals of statistical inference and statistical theory including Bayesian and frequentist approaches and methodology possible without excessive emphasis on the underlying mathematics. This book is about some of the basic principles of statistics that are necessary to understand and evaluate methods for analyzing complex data sets. The likelihood function is used for pure likelihood inference throughout the book. There is also coverage of severity and finite population sampling. The material was developed from an introductory statistical theory course taught by the author at the Johns Hopkins University’s Department of Biostatistics. Students and instructors in public health programs will benefit from the likelihood modeling approach that is used throughout the text. This will also appeal to epidemiologists and psychometricians. After a brief introduction, there are chapters on estimation, hypothesis testing, and maximum likelihood modeling. The book concludes with sections on Bayesian computation and inference. An appendix contains unique coverage of the interpretation of probability, and coverage of probability and mathematical concepts.
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Introduction to Statistical Inference

Posted By: AvaxGenius
Date: 26 Jun 2022 18:45:38
Introduction to Statistical Inference

Introduction to Statistical Inference by Jack Carl Kiefer
English | PDF | 1987 | 342 Pages | ISBN : 1461395801 | 69.2 MB

This book is based upon lecture notes developed by Jack Kiefer for a course in statistical inference he taught at Cornell University. The notes were distributed to the class in lieu of a textbook, and the problems were used for homework assignments. Relying only on modest prerequisites of probability theory and cal­ culus, Kiefer's approach to a first course in statistics is to present the central ideas of the modem mathematical theory with a minimum of fuss and formality.
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Statistical Information and Likelihood: A Collection of Critical Essays by Dr. D. Basu

Posted By: AvaxGenius
Date: 26 Jun 2022 17:56:18
Statistical Information and Likelihood: A Collection of Critical Essays by Dr. D. Basu

Statistical Information and Likelihood: A Collection of Critical Essays by Dr. D. Basu by J. K. Ghosh
English | PDF | 1988 | 386 Pages | ISBN : 0387967516 | 77.9 MB

It is an honor to be asked to write a foreword to this book, for I believe that it and other books to follow will eventually lead to a dramatic change in the current statistics curriculum in our universities. I spent the 1975-76 academic year at Florida State University in Tallahassee. My purpose was to complete a book on Statistical Reliability Theory with Frank Proschan.
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A Probabilistic Theory of Pattern Recognition

Posted By: AvaxGenius
Date: 21 Feb 2022 18:01:51
A Probabilistic Theory of Pattern Recognition

A Probabilistic Theory of Pattern Recognition by Luc Devroye
English | PDF | 1996 | 631 Pages | ISBN : 0387946187 | 44.6 MB

Pattern recognition presents one of the most significant challenges for scientists and engineers, and many different approaches have been proposed. The aim of this book is to provide a self-contained account of probabilistic analysis of these approaches. The book includes a discussion of distance measures, nonparametric methods based on kernels or nearest neighbors, Vapnik-Chervonenkis theory, epsilon entropy, parametric classification, error estimation, free classifiers, and neural networks. Wherever possible, distribution-free properties and inequalities are derived. A substantial portion of the results or the analysis is new. Over 430 problems and exercises complement the material.
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Maximum-Entropy and Bayesian Methods in Science and Engineering Volume 2: Applications

Posted By: AvaxGenius
Date: 23 Jul 2020 13:50:17
Maximum-Entropy and Bayesian Methods in Science and Engineering Volume 2: Applications

Maximum-Entropy and Bayesian Methods in Science and Engineering Volume 2: Applications by Gary J. Erickson
English | PDF | 1988 | 432 Pages | ISBN : 9027727945 | 36.15 MB

This volume has its origin in the Fifth, Sixth and Seventh Workshops on "Maximum-Entropy and Bayesian Methods in Applied Statistics", held at the University of Wyoming, August 5-8, 1985, and at Seattle University, August 5-8, 1986, and August 4-7, 1987. It was anticipated that the proceedings of these workshops would be combined, so most of the papers were not collected until after the seventh workshop.
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