Lecture 1 - Need of Nonparametric Inference
Lecture 2 - Rank and Permutation
Lecture 3 - Spearman Rank Correlation
Lecture 4 - Kendall’s Rank Correlation
Lecture 5 - Linear Rank Statistics (Part B)
Lecture 6 - Sign Test
Lecture 7 - Problem Solving on Wilcoxon signed rank test
Lecture 8 - Kendall’s Rank Correlation
Lecture 9 - Paired Sample Wicoxon signed rank test
Lecture 10 - McNemar’s Test
Lecture 11 - General discussion on two sample test and Mann Whitney Test
Lecture 12 - Tie cases, (Wilcoxon) Mann Whitney Statistic and Problem Solving by R
Lecture 13 - Median Test and Mood’s Tests for dispersion
Lecture 14 - Wald Wolfowitz Run Test
Lecture 15 - Extension to two sample proble
Lecture 16 - Friedman Test (Two-way Nonparametric ANOVA)
Lecture 17 - Few Forewords and Pearson Goodness of fit Test
Lecture 18 - One Sample Kolmogorov Smirnov Test
Lecture 19 - Two sample Kolmogorov Smirnov Test
Lecture 20 - Few Other Goodness of Fit Tests
