Confidence Likelihood Probability PDF Download
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Author | : Tore Schweder |
Publisher | : Cambridge University Press |
Total Pages | : 521 |
Release | : 2016-02-24 |
Genre | : Mathematics |
ISBN | : 1316445054 |
Download Confidence, Likelihood, Probability Book in PDF, ePub and Kindle
This lively book lays out a methodology of confidence distributions and puts them through their paces. Among other merits, they lead to optimal combinations of confidence from different sources of information, and they can make complex models amenable to objective and indeed prior-free analysis for less subjectively inclined statisticians. The generous mixture of theory, illustrations, applications and exercises is suitable for statisticians at all levels of experience, as well as for data-oriented scientists. Some confidence distributions are less dispersed than their competitors. This concept leads to a theory of risk functions and comparisons for distributions of confidence. Neyman–Pearson type theorems leading to optimal confidence are developed and richly illustrated. Exact and optimal confidence distribution is the gold standard for inferred epistemic distributions. Confidence distributions and likelihood functions are intertwined, allowing prior distributions to be made part of the likelihood. Meta-analysis in likelihood terms is developed and taken beyond traditional methods, suiting it in particular to combining information across diverse data sources.
Author | : Tore Schweder |
Publisher | : Cambridge University Press |
Total Pages | : 521 |
Release | : 2016-02-24 |
Genre | : Business & Economics |
ISBN | : 0521861608 |
Download Confidence, Likelihood, Probability Book in PDF, ePub and Kindle
This is the first book to develop a methodology of confidence distributions, with a lively mix of theory, illustrations, applications and exercises.
Author | : Art B. Owen |
Publisher | : CRC Press |
Total Pages | : 322 |
Release | : 2001-05-18 |
Genre | : Mathematics |
ISBN | : 1420036157 |
Download Empirical Likelihood Book in PDF, ePub and Kindle
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
Author | : Nitis Mukhopadhyay |
Publisher | : CRC Press |
Total Pages | : 690 |
Release | : 2020-08-30 |
Genre | : Mathematics |
ISBN | : 100022872X |
Download Probability and Statistical Inference Book in PDF, ePub and Kindle
Priced very competitively compared with other textbooks at this level! This gracefully organized textbook reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer simulations to develop and illustrate concepts. Beginning wi
Author | : James O. Berger |
Publisher | : IMS |
Total Pages | : 266 |
Release | : 1988 |
Genre | : Mathematics |
ISBN | : 9780940600133 |
Download The Likelihood Principle Book in PDF, ePub and Kindle
Author | : Esa Uusipaikka |
Publisher | : CRC Press |
Total Pages | : 328 |
Release | : 2008-07-25 |
Genre | : Mathematics |
ISBN | : 1420060384 |
Download Confidence Intervals in Generalized Regression Models Book in PDF, ePub and Kindle
A Cohesive Approach to Regression Models Confidence Intervals in Generalized Regression Models introduces a unified representation-the generalized regression model (GRM)-of various types of regression models. It also uses a likelihood-based approach for performing statistical inference from statistical evidence consisting of data a
Author | : Richard Royall |
Publisher | : Routledge |
Total Pages | : 212 |
Release | : 2017-11-22 |
Genre | : Mathematics |
ISBN | : 1351414550 |
Download Statistical Evidence Book in PDF, ePub and Kindle
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.
Author | : Adelchi Azzalini |
Publisher | : Routledge |
Total Pages | : 356 |
Release | : 2017-11-13 |
Genre | : Mathematics |
ISBN | : 1351414461 |
Download Statistical Inference Based on the likelihood Book in PDF, ePub and Kindle
The Likelihood plays a key role in both introducing general notions of statistical theory, and in developing specific methods. This book introduces likelihood-based statistical theory and related methods from a classical viewpoint, and demonstrates how the main body of currently used statistical techniques can be generated from a few key concepts, in particular the likelihood. Focusing on those methods, which have both a solid theoretical background and practical relevance, the author gives formal justification of the methods used and provides numerical examples with real data.
Author | : Jerzy Neyman |
Publisher | : |
Total Pages | : 296 |
Release | : 1952 |
Genre | : Mathematical statistics |
ISBN | : |
Download Lectures and Conferences on Mathematical Statistics and Probability Book in PDF, ePub and Kindle
Author | : S.D. Silvey |
Publisher | : Routledge |
Total Pages | : 196 |
Release | : 2017-10-19 |
Genre | : Mathematics |
ISBN | : 1351414496 |
Download Statistical Inference Book in PDF, ePub and Kindle
Statistics is a subject with a vast field of application, involving problems which vary widely in their character and complexity.However, in tackling these, we use a relatively small core of central ideas and methods. This book attempts to concentrateattention on these ideas: they are placed in a general settingand illustrated by relatively simple examples, avoidingwherever possible the extraneous difficulties of complicatedmathematical manipulation.In order to compress the central body of ideas into a smallvolume, it is necessary to assume a fair degree of mathematicalsophistication on the part of the reader, and the book is intendedfor students of mathematics who are already accustomed tothinking in rather general terms about spaces and functions