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Advanced Statistical Methods

16 lectures

Lecture notes and study resources for this subject.

01Lecture 01 · Introduction to Advanced Statistical Methods
02Lecture 02 · Normal Distribution and Statistical Inference
03Lecture 03 · Statistical Inference and Hypothesis Testing
04Lecture 04 · Hypothesis Testing Procedures
05Lecture 05 · Inferences on the Population Variance
06Lecture 06 · Chi-Square Applications: Tests for Independence and Goodness of Fit
07Lecture 07 · Design of Experiments, Analysis of Variance, and Regression Analysis
08Lecture 08 · Analysis of Variance and Regression
09Lecture 09 · Regression Analysis: Significance Testing, Multiple Regression, and Categorical Predictors
10Lecture 10 · Residual Analysis, Dummy Variables, and Logistic Regression
11Lecture 11 · Logistic Regression
12Lecture 12 · Logistic Regression Recap, Odds Ratios, and Principal Component Analysis
13Lecture 13 · Dimensionality Reduction, Principal Component Analysis, and Linear Discriminant Analysis
14Lecture 14 · Linear Discriminant Analysis and Hierarchical Cluster Analysis
15Lecture 15 · Eigenvectors, Cluster Analysis, and Non-Parametric Procedures
16Lecture 16 · Run Test for Randomness
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