Biostat 685/Stat 560
Preface
1 Introduction
2 Working with R
I Nonparametric Testing
3 Rank and Sign Statistics
4 Rank Tests for Multiple Groups
5 Permutation Tests
II Nonparametric Estimation
6 U-Statistics
7 The Empirical Distribution Function
8 Density Estimation
III Quantifying Uncertainty
9 The Bootstrap
10 Bootstrap Examples and the Jackknife
IV Nonparametric Regression: Part I
11 Kernel Regression and Local Regression
12 Splines and Penalized Regression
V Nonparametric Regression: Part II
13 Regression Trees and CART
14 Ensemble Methods for Prediction
Published with bookdown

Elements of Nonparametric Statistics

Elements of Nonparametric Statistics

Nicholas Henderson

2026-02-23

Preface

This book will serve as the main source of course notes for Biostatistics 685/Statistics 560, Winter 2026.