Likelihood principle (15 Ergebnisse)

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Buch. Zustand: Neu. Neuware - Evidence-Based Statistics: An Introduction to the Evidential Approach - from Likelihood Principle to Statistical Practice provides readers with a comprehensive and thorough guide to the evidential approach in statistics. The approach uses likelihood ratios, rather than the probabilities used by other statistical inference approaches. The evidential approach is conceptually easier to grasp, and the calculations more straightforward to perform. This book explains how to express data in terms of the strength of statistical evidence for competing hypotheses. The evidential approach is currently underused, despite its mathematical precision and statistical validity. Evidence-Based Statistics is an accessible and practical text filled with examples, illustrations and exercises. Additionally, the companion website complements and expands on the information contained in the book. While the evidential approach is unlikely to replace probability-based methods of statistical inference, it provides a useful addition to any statistician's 'bag of tricks.' In this book: It explains how to calculate statistical evidence for commonly used analyses, in a step-by-step fashion Analyses include: t tests, ANOVA (one-way, factorial, between- and within-participants, mixed), categorical analyses (binomial, Poisson, McNemar, rate ratio, odds ratio, data that's 'too good to be true', multi-way tables), correlation, regression and nonparametric analyses (one sample, related samples, independent samples, multiple independent samples, permutation and bootstraps) Equations are given for all analyses, and R statistical code provided for many of the analyses Sample size calculations for evidential probabilities of misleading and weak evidence are explained Useful techniques, like Matthews's critical prior interval, Goodman's Bayes factor, and Armitage's stopping rule are described Recommended for undergraduate and graduate students in any field that relies heavily on statistical analysis, as well as active researchers and professionals in those fields, Evidence-Based Statistics: An Introduction to the Evidential Approach - from Likelihood Principle to Statistical Practice belongs on the bookshelf of anyone who wants to amplify and empower their approach to statistical analysis.…

Softcover. 206 p. Very Good condition. Reading pages are clean and without markings. Slight signs of storage and use. Spine slightly light-margined. Spine edge slightly bumped. Book corners and edges slightly bumped. Otherwise a good copy. 9780940600065 Sprache: Englisch Gewicht in Gramm: 358.

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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. Foundations ofstatistics is the usual name for the epistemological debate over how oneshould conduct inductive inference from data. Among issues consideredare the question of Bayesian inference versus frequentist inference, thedistinction between Fisher's 'significance testing' and Neyman- Pearson'hypothesis testing', and whether the likelihood principle should befollowed. Some of these issues have been debated for up to 200 yearswithout resolution. For a short introduction to the foundations ofstatistics, see ch. 6 of Kendall's Advanced Theory of Statistics. In hisbook Statistics As Principled Argument, Robert P. Abelson articulatesthe position that statistics serves as a standardized means of settlingdisputes between scientists who could otherwise each argue the merits oftheir own positions ad infinitum. From this point of view, statistics isa form of rhetoric; as with any means of settling disputes, statisticalmethods can succeed only as long as all parties agree on the approachused.…

Taschenbuch. Zustand: Neu. Likelihood-ratio Test | Likelihood-ratio test, Likelihood function, Probability distribution, Test statistic, Bayes factor, Likelihood principle, Score (statistics), Probability density function, Null hypothesis | Frederic P. Miller (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130617219 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.…