Machine generated contents note: 1 Classical Statistical Procedures -- 1.1 Introduction -- 1.2 The Score Vector, the Information Matrix, and the Cramer-Rao -- Lower Bound -- 1.3 Maximum Likelihood Estimators and Test Procedures -- 1.4 Nuisance Parameters -- 1.5 Differentiation and Asymptotics --...

This book offers a detailed application guide to XploRe - the interactive statistical computing environment - with case studies of real data analysis situations. It helps the beginner in statistical data analysis to learn in gradual steps how XploRe works in real life applications. Many examples...