Nonparametric Functional Estimation
eBook - PDF

Nonparametric Functional Estimation

  1. 538 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Nonparametric Functional Estimation

Book details
Table of contents
Citations

About This Book

Nonparametric Functional Estimation is a compendium of papers, written by experts, in the area of nonparametric functional estimation. This book attempts to be exhaustive in nature and is written both for specialists in the area as well as for students of statistics taking courses at the postgraduate level. The main emphasis throughout the book is on the discussion of several methods of estimation and on the study of their large sample properties. Chapters are devoted to topics on estimation of density and related functions, the application of density estimation to classification problems, and the different facets of estimation of distribution functions. Statisticians and students of statistics and engineering will find the text very useful.

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Yes, you can access Nonparametric Functional Estimation by B. L. S. Prakasa Rao, Z. W. Birnbaum,E. Lukacs in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Year
2014
ISBN
9781483269238

Table of contents

  1. Front Cover
  2. Nonparametric Functional Estimation
  3. Copyright Page
  4. Table of Contents
  5. Dedication
  6. Preface
  7. List of Notation
  8. Chapter 1. Estimation of Functionals
  9. Chapter 2. Density Estimation (Univariate Case)
  10. Chapter 3. Density Estimation (Multivariate Case)
  11. Chapter 4. Estimation of Functionals Related to Density
  12. Chapter 5. Sequential and Recursive Estimation
  13. Chapter 6. Estimation for Stochastic Processes
  14. Chapter 7. Estimation under Order Restrictions
  15. Chapter 8. Nonparametric Discrimination
  16. Chapter 9. Estimation of a Distribution Function
  17. Chapter 10. Estimation of a Mixing Distribution
  18. Chapter 11. Bayes Estimation
  19. References
  20. Author Index
  21. Subject Index