Parametric Statistical Inference: Basic Theory and Modern Approaches presents the developments and modern trends in statistical inference to students who do not

Two unifying components of statistics are the likelihood function and the exponential family. These are brought together for the first time as the central theme

This book offers a detailed history of parametric statistical inference. Covering the period between James Bernoulli and R.A. Fisher, it examines: binomial stat

Integrates the theory and applications of statistics using R A Course in Statistics with R has been written to bridge the gap between theory and applications an

Proven Material for a Course on the Introduction to the Theory and/or on the Applications of Classical Nonparametric Methods Since its first publication in 1971