Basics of Nonparametric Tests with Applications by R ZW93G076GT

URI	`m2://res/ZW93G076GT`
Kind	course
Creators	Saran Ishika Maiti (instructor)
Date	2025-08-07
Scope	in

Expressions

Language	en
Date	2025-08-07

Contents

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