Mathematical Statistics 245 (MS245)

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.).

-

64 pages

Written in 2020/2021

karlahanekom

This material covers introductory statistical concepts, such as bivariate distributions and moment-generating functions.

-

6 pages

Written in 2022/2023

tanweerkola

The class notes cover important concepts for anyone starting off in statistics. They cover the fundamentals of probability theory as well as an introduction to probability distributions and statistics. Includes summaries for various probability distributions that are commonly used throughout statistical studies.

-

3 items

tanweerkola

An intro to concepts relating to probability distributions.

-

8 pages

Written in 2022/2023

tanweerkola

A combination of comprehensive summaries and 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

-

2 items

karlahanekom

This document contains comprehensive summaries 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.). This document also contains a brief summary of general hypothesis tests and p-values.

-

51 pages

Written in 2020/2021

karlahanekom