Sampling Distributions: Estimation

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

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

Covers estimation of parameters, MSE, Fisher information, and the Rao-Blackwell Theorem.

Introduces Fisher Information for parameter estimation based on collected data.

Explores bias, variance, and confidence intervals in parameter estimation using examples and distributions.