Lecture 1: Set and Probability Theory
Lecture 2:Random Variables, Probability Mass/Density Function, and Cumulative Distribution Function (Univariate Model)
Lecture 3:Multiple Random Variables (Multivariate Model)
Lecture 4:Expectation (Moments)
Lecture 5:Random Variable/Vector Transformation
Lecture 6:Special Distributions (Discrete and Continuous)
Lecture 7:Random Sample
Lecture 8:Point Estimators and Point Estimation Methods
Lecture 9:Interval Estimation and Confidence Intervals
Introduction to Statistical Method in Economics, Spring 2006(MIT).rar
(4.56 MB)




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