Research Methods and Statistics Arena

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• Price: $89.95 $80.96
• Hardback: 254 pages
• Also available in e-Book
• Published: June 2010
• ISBN: 978-1-4200934-3-8
• Publisher: Chapman & Hall

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This book sets out an integrated approach to statistical inference using the likelihood function as the primary measure of evidence for statistical model parameters, and for the statistical models themselves. The author provides both an alternative to standard Bayesian inference and the foundation for a course sequence in modern Bayesian theory at the graduate or advanced undergraduate level. The restriction of the book to evidence is deliberate: there are already many books on Bayesian and non-Bayesian decision theory, and the purpose of this one is less ambitious, but perhaps more relevant scientifically, in providing a detailed prescription for the assessment of statistical evidence.

Table of Contents

Theories of Statistical Inference. The Integrated Bayes/Likelihood Approach. t-Tests and Normal Variance Tests. Unified Analysis of Finite Populations. Regression and Analysis of Variance. Binomial and Multinomial Data. Goodness of Fit and Model Diagnostics. Complex Models. References. Index.