A student's guide to Bayesian statistics / Ben Lambert.

Format:

Book

Author/Creator:

Lambert, Ben, active 2018, author.

Series:

Core textbook

Language:

English

Subjects (All):

Research Methods & Evaluation--Quantitative/Statistical Research.

Research Methods & Evaluation.

Physical Description:

1 online resource (520 pages) : illustrations.

Place of Publication:

London : SAGE Publications, 2018.

Summary:

Supported by a wealth of learning features, exercises, and visual elements as well as online video tutorials and interactive simulations, this book is the first student-focused introduction to Bayesian statistics. Without sacrificing technical integrity for the sake of simplicity, the author draws upon accessible, student-friendly language to provide approachable instruction perfectly aimed at statistics and Bayesian newcomers. Through a logical structure that introduces and builds upon key concepts in a gradual way and slowly acclimatizes students to using R and Stan software, the book covers: An introduction to probability and Bayesian inference, understanding Bayes' rule, nuts and bolts of Bayesian analytic methods, computational Bayes and real-world Bayesian analysis, regression analysis and hierarchical methods. This unique guide will help students develop the statistical confidence and skills to put the Bayesian formula into practice, from the basic concepts of statistical inference to complex applications of analyses.

Notes:

Description based on XML content.

ISBN:

1-03-623454-1

1-5264-1826-6

1-5264-1828-2

9781036234546

OCLC:

1032197154

Publisher Number:

T245409