Wackerly - Study guides, Class notes & Summaries

This document contains a brief summary and many examples of point estimators, order statistics, relative efficiency, method of moment estimators, method of maximum likelihood estimators, Neyman-Pearson Lemma, likelihood ratio test, Bayesian statistics (conjugate priors, noninformative priors, credibility intervals, squared error loss functions, absolute error loss functions, etc.).

Comprehensive guide to all things Probability including a summary of important formulas with examples! Probability theory, counting techniques, conditional probability; random variables, moments; moment generating functions; multivariate distributions; transformations of random variables. Probability theory, including set theoretic and combinatorial concepts; in-depth treatment of discrete random variables and distributions and continuous random variables; introduction to estimation and hypot...

Hierbij een samenvatting van de theorie behandeld tijdens het vak Inleiding Statistiek.