MTH516

Books/References:

All of Nonparametric Statistics by Larry Wasserman (LW)

Nonparametric Statistical Inference by Jean Dickinson Gibbons and Subhabrata Chakraborti (GC)

Introduction to the Theory of Nonparametric Statistics by Ronald Herman Randles and Douglas Alan Wolfe (RW)

NP Statistics Using R 

Resources:

Large Sample Theory

Probability: A Course in Probability Theory by Kai Lai Chung : Chapters 4 and 5

Density Estimation: Multivariate Density Estimation: Theory, Practice, and Visualization by David Scott : Chapters 6 and 7

Corrections:

 1, 2, 3,

Assignments:

1 , 2 , 3 , 4 , 5

Data sets for Nadaraya-Watson regression : 5.3 and 5.4

Numerical

Exams:

Assignments will be given and discussed in the class. However, no grading for assignments.

Mark for each exam is stated in brackets.

The exact dates of the quizzes will NOT be announced in advance

 Quizzes : 4 * [10] = [40]

MidSem : [25]

EndSem : [35] 

Final Score = Quizzes + MidSem + EndSem

Grading:

Based on score quantiles [relative]

Fail : If total score is less than or equal to [we will see] out of 100

All the best!