Nonparametric Estimation of Probability Densities and Regression Curves

✍ Scribed by E. A. Nadaraya (auth.)

Publisher: Springer Netherlands
Year: 1989
Tongue: English
Leaves: 222
Series: Mathematics and its Applications (Soviet Series) 20
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

`... this book is a useful and significant addition on the lively topic of nonparametric density and regression curve estimation.'
Royal Statistical Society, 154, 1991

✦ Table of Contents

Front Matter....Pages i-ix
Introduction....Pages 1-17
Asymptotic Properties of Certain Measures of Deviation for Kernel-Type Nonparametric Estimators of Probability Densities....Pages 18-41
Strongly Consistent in Functional Metrics Estimators of Probability Density....Pages 42-61
Limiting Distributions of Deviations of Kernel-Type Density Estimators....Pages 62-114
Nonparametric Estimation of Regression Curves and Components of a Convolution....Pages 115-160
Projection Type Nonparametric Estimation of Probability Density....Pages 161-176
Limiting Distribution of Quadratic Deviation for a Wide Class of Probability Density Estimators....Pages 177-203
Back Matter....Pages 204-213

✦ Subjects

Statistics, general

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