Sampling Distributions: Estimators and Variance

Explores statistical models, parameter estimation, and sampling distributions in probability and statistics.

Explores sampling distributions, estimators' properties, and statistical measures for data science applications.

Introduces Fisher Information for parameter estimation based on collected data.

Explores the Method of Moments, Bias-Variance tradeoff, Consistency, Plug-In Principle, and Likelihood Principle in point estimation.

Explores sampling distributions, estimation methods, and consistency in parameter estimation.