Evidence-Based Statistics Peter M. B. Cahusac

Evidence-Based Statistics скачать fb2

Фрагмент книги

0 скачали
0 прочитали
0 впечатлений






Peter M. B. Cahusac - Evidence-Based Statistics краткое содержание

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.

Читать книгу онлайн Evidence-Based Statistics - автор Peter M. B. Cahusac или скачать бесплатно и без регистрации в формате fb2. Роман написан в году, в жанре . Читаемые, полные версии книг, без сокращений, на сайте - библиотека бесплатных книг Knigism.online. Вы можете скачать издание полностью и открыть в любой читалке, на свой телефон или айфон, а также читать произведение без интернета.




Скачать книгу «Evidence-Based Statistics» Peter M. B. Cahusac

Чтобы оставить свою оценку и/или комментарий, Вам нужно войти под своей учетной записью или зарегистрироваться

Другие книги авторавсе книги
Evidence-Based Statistics
Evidence-Based Statistics
Starting out in Statistics
Starting out in Statistics
Другие книги жанраМатематика
Гильберт. Основания математики
Гильберт. Основания математики
Фон Нейман. Теория игр
Фон Нейман. Теория игр
Игра случая. Математика и мифология совпадения
Игра случая. Математика и мифология...
Математика для мам и пап: Домашка без мучений
Математика для мам и пап: Домашка б...