STA2004F

These notes are summaries of the Distribution Theory, Parameter Estimation and Inference sections of STA2004F. They give explanations of all the important concepts pertaining to these sections. They can be used to study for test 2 of STA2004F and for the exam. They are neat and in-depth.

These notes are a summary of the Order Out of Chaos notes by Melusi Mavuso. They highlight all the key concepts in the notes and give detailed explanations of all concepts. These notes can be used to study for the STA2004F test 1 and for the Probability Theory section of the exam. They are neat and in-depth and give examples to complex ideas.

A detailed and understandable summary conditional expectation. Contains all important information such as derivations, formula, compound distributions (continuous distribution conditioned on a discrete distribution and visa versa) and conditioning. Perfect for exam revision.

A detailed and understandable summary of the distribution of sample statistics (chapter 5). Contains all important formula, tricks for scaling normals, how to manipulate formula and RV transformations. Perfect for exam revision.

A detailed and understandable summary of the delta method and fisher information. Contains all important information on the fisher information, transformation of parameters, invariance property of MLE's, and the delta method (with examples). Perfect for exam revision.

A detailed and understandable summary of the entire estimator bias chapter. Contains all important formula you need to memorise, explanations and examples of difficult formula like taylor expansion and delta method. Perfect for exams

Worked examples of joint probability density questions. Very useful when doing Section A off the exam.

A detailed and understandable worked examples for hypothesis testing and confidence intervals. Contains important tricks to solve these questions. Detailed explanations. Perfect for exam revision.