Nonparametric statistics with applications to science and engineering / Paul H. Kvam, Brani Vidakovic.

Table of content

Preface viii
1 Introduction 1
2 Probability Basics 9
3 Statistics Basics 35
4 Bayesian Statistics 49
5 Order Statistics 71
6 Goodness of Fit 83
7 Rank Tests 117
8 Designed Experiments 143
9 Categorical Data 155
10 Estimating Distribution Functions 185
11 Density Estimation 207
12 Beyond Linear Regression 221
13 Curve Fitting Techniques 245
14 Wavelets 267
15 Bootstrap 289
16 EM Algorithm 309
17 Statistical Learning 325
18 Nonparametric Bayes 351
19 Appendix A: MATLAB 371
20 Appendix B: WinBUGS 399
Notation Index 403
Author Index 409
CONTENTS vii
Subject Index 413

Includes bibliographical references and indexes.

Introduction -- Probability basics -- Statistics basics -- Bayesian statistics -- Order statistics -- Goodness of fit -- Rank tests -- Designed experiments -- Categorical data -- Estimating distribution functions -- Density estimation -- Beyond linear regression -- Curve fitting techniques -- Wavelets -- Bootstrap -- Em algorithm -- Statistical learning -- Nonparametric bayes.