Statistical Inference/Probability Theory

From Wiki**3

< Statistical Inference
Revision as of 13:37, 25 July 2018 by Root (talk | contribs)
Statistical Inference
Probability Theory
Transformations and Expectations
Common Families of Distributions
Multiple Random Variables
Properties of a Random Sample
Principles of Data Reductions
Point Estimation
Hypothesis Testing
Interval Estimation
Asymptotic Evaluations
Analysis of Variance and Regression
Regression Models

Set Theory

Definition 1.1.1 - Sample Space

The set, S, of all possible outcomes of a particular experiment is called the sample space for the experiment.

Definition 1.1.2 - Event

An event is any collection of possible outcomes of an experiment, that is, any subset of S (including S itself).

Union

Intersection

Complementation

Theorem 1.1.4 - Event Operations