In All Likelihood

In All Likelihood
Author :
Publisher : OUP Oxford
Total Pages : 626
Release :
ISBN-10 : 9780191650581
ISBN-13 : 0191650587
Rating : 4/5 (81 Downloads)

Book Synopsis In All Likelihood by : Yudi Pawitan

Download or read book In All Likelihood written by Yudi Pawitan and published by OUP Oxford. This book was released on 2013-01-17 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on a course in the theory of statistics this text concentrates on what can be achieved using the likelihood/Fisherian method of taking account of uncertainty when studying a statistical problem. It takes the concept ot the likelihood as providing the best methods for unifying the demands of statistical modelling and the theory of inference. Every likelihood concept is illustrated by realistic examples, which are not compromised by computational problems. Examples range from a simile comparison of two accident rates, to complex studies that require generalised linear or semiparametric modelling. The emphasis is that the likelihood is not simply a device to produce an estimate, but an important tool for modelling. The book generally takes an informal approach, where most important results are established using heuristic arguments and motivated with realistic examples. With the currently available computing power, examples are not contrived to allow a closed analytical solution, and the book can concentrate on the statistical aspects of the data modelling. In addition to classical likelihood theory, the book covers many modern topics such as generalized linear models and mixed models, non parametric smoothing, robustness, the EM algorithm and empirical likelihood.

Empirical Likelihood

Empirical Likelihood
Author :
Publisher : CRC Press
Total Pages : 322
Release :
ISBN-10 : 9781420036152
ISBN-13 : 1420036157
Rating : 4/5 (52 Downloads)

Book Synopsis Empirical Likelihood by : Art B. Owen

Download or read book Empirical Likelihood written by Art B. Owen and published by CRC Press. This book was released on 2001-05-18 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Empirical likelihood provides inferences whose validity does not depend on specifying a parametric model for the data. Because it uses a likelihood, the method has certain inherent advantages over resampling methods: it uses the data to determine the shape of the confidence regions, and it makes it easy to combined data from multiple sources. It al

Maximum Likelihood for Social Science

Maximum Likelihood for Social Science
Author :
Publisher : Cambridge University Press
Total Pages : 327
Release :
ISBN-10 : 9781107185821
ISBN-13 : 1107185823
Rating : 4/5 (21 Downloads)

Book Synopsis Maximum Likelihood for Social Science by : Michael D. Ward

Download or read book Maximum Likelihood for Social Science written by Michael D. Ward and published by Cambridge University Press. This book was released on 2018-11-22 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical, example-driven introduction to maximum likelihood for the social sciences. Emphasizes computation in R, model selection and interpretation.

Maximum Likelihood Estimation and Inference

Maximum Likelihood Estimation and Inference
Author :
Publisher : John Wiley & Sons
Total Pages : 286
Release :
ISBN-10 : 9781119977711
ISBN-13 : 1119977711
Rating : 4/5 (11 Downloads)

Book Synopsis Maximum Likelihood Estimation and Inference by : Russell B. Millar

Download or read book Maximum Likelihood Estimation and Inference written by Russell B. Millar and published by John Wiley & Sons. This book was released on 2011-07-26 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book takes a fresh look at the popular and well-established method of maximum likelihood for statistical estimation and inference. It begins with an intuitive introduction to the concepts and background of likelihood, and moves through to the latest developments in maximum likelihood methodology, including general latent variable models and new material for the practical implementation of integrated likelihood using the free ADMB software. Fundamental issues of statistical inference are also examined, with a presentation of some of the philosophical debates underlying the choice of statistical paradigm. Key features: Provides an accessible introduction to pragmatic maximum likelihood modelling. Covers more advanced topics, including general forms of latent variable models (including non-linear and non-normal mixed-effects and state-space models) and the use of maximum likelihood variants, such as estimating equations, conditional likelihood, restricted likelihood and integrated likelihood. Adopts a practical approach, with a focus on providing the relevant tools required by researchers and practitioners who collect and analyze real data. Presents numerous examples and case studies across a wide range of applications including medicine, biology and ecology. Features applications from a range of disciplines, with implementation in R, SAS and/or ADMB. Provides all program code and software extensions on a supporting website. Confines supporting theory to the final chapters to maintain a readable and pragmatic focus of the preceding chapters. This book is not just an accessible and practical text about maximum likelihood, it is a comprehensive guide to modern maximum likelihood estimation and inference. It will be of interest to readers of all levels, from novice to expert. It will be of great benefit to researchers, and to students of statistics from senior undergraduate to graduate level. For use as a course text, exercises are provided at the end of each chapter.

Statistical Evidence

Statistical Evidence
Author :
Publisher : Routledge
Total Pages : 191
Release :
ISBN-10 : 9781351414562
ISBN-13 : 1351414569
Rating : 4/5 (62 Downloads)

Book Synopsis Statistical Evidence by : Richard Royall

Download or read book Statistical Evidence written by Richard Royall and published by Routledge. This book was released on 2017-11-22 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interpreting statistical data as evidence, Statistical Evidence: A Likelihood Paradigm focuses on the law of likelihood, fundamental to solving many of the problems associated with interpreting data in this way. Statistics has long neglected this principle, resulting in a seriously defective methodology. This book redresses the balance, explaining why science has clung to a defective methodology despite its well-known defects. After examining the strengths and weaknesses of the work of Neyman and Pearson and the Fisher paradigm, the author proposes an alternative paradigm which provides, in the law of likelihood, the explicit concept of evidence missing from the other paradigms. At the same time, this new paradigm retains the elements of objective measurement and control of the frequency of misleading results, features which made the old paradigms so important to science. The likelihood paradigm leads to statistical methods that have a compelling rationale and an elegant simplicity, no longer forcing the reader to choose between frequentist and Bayesian statistics.

The Likelihood Principle

The Likelihood Principle
Author :
Publisher : IMS
Total Pages : 266
Release :
ISBN-10 : 0940600137
ISBN-13 : 9780940600133
Rating : 4/5 (37 Downloads)

Book Synopsis The Likelihood Principle by : James O. Berger

Download or read book The Likelihood Principle written by James O. Berger and published by IMS. This book was released on 1988 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Judicial and Statutory Definitions of Words and Phrases

Judicial and Statutory Definitions of Words and Phrases
Author :
Publisher :
Total Pages : 1166
Release :
ISBN-10 : IND:30000109119481
ISBN-13 :
Rating : 4/5 (81 Downloads)

Book Synopsis Judicial and Statutory Definitions of Words and Phrases by :

Download or read book Judicial and Statutory Definitions of Words and Phrases written by and published by . This book was released on 1928 with total page 1166 pages. Available in PDF, EPUB and Kindle. Book excerpt: