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Nonparametric Estimation of Probability Densities and Regression Curves

  • Book
  • © 1989

Overview

Authors:
  1. E. A. Nadaraya

    1. Tbilisi State University, Tbilisi, U.S.S.R.

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Part of the book series: Mathematics and its Applications (MASS, volume 20)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. Introduction

    • E. A. Nadaraya
    Pages 1-17

  3. Asymptotic Properties of Certain Measures of Deviation for Kernel-Type Nonparametric Estimators of Probability Densities

    • E. A. Nadaraya
    Pages 18-41

  4. Strongly Consistent in Functional Metrics Estimators of Probability Density

    • E. A. Nadaraya
    Pages 42-61

  5. Limiting Distributions of Deviations of Kernel-Type Density Estimators

    • E. A. Nadaraya
    Pages 62-114

  6. Nonparametric Estimation of Regression Curves and Components of a Convolution

    • E. A. Nadaraya
    Pages 115-160

  7. Projection Type Nonparametric Estimation of Probability Density

    • E. A. Nadaraya
    Pages 161-176

  8. Limiting Distribution of Quadratic Deviation for a Wide Class of Probability Density Estimators

    • E. A. Nadaraya
    Pages 177-203

  9. Back Matter

    Pages 204-213
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Reviews

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

Authors and Affiliations

  • Tbilisi State University, Tbilisi, U.S.S.R.

    E. A. Nadaraya

Bibliographic Information

  • Book Title: Nonparametric Estimation of Probability Densities and Regression Curves

  • Authors: E. A. Nadaraya

  • Series Title: Mathematics and its Applications

  • DOI: https://doi.org/10.1007/978-94-009-2583-0

  • Publisher: Springer Dordrecht

  • eBook Packages: Springer Book Archive

  • Copyright Information: Kluwer Academic Publishers 1989

  • Hardcover ISBN: 978-90-277-2757-2Published: 31 December 1988

  • Softcover ISBN: 978-94-010-7667-8Published: 12 February 2012

  • eBook ISBN: 978-94-009-2583-0Published: 06 December 2012

  • Series ISSN: 0169-6378

  • Edition Number: 1

  • Number of Pages: IX, 213

  • Additional Information: Originally published in Russian

  • Topics: Statistical Theory and Methods

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