Functional Estimation For Density, Regression Models And Processes

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Title: Functional Estimation For Density, Regression Models And Processes
Description: This book presents a unified approach on nonparametric estimators for models of independent observations, jump processes and continuous processes. New estimators are defined and their limiting behavior is studied. From a practical point of view, the book expounds on the construction of estimators for functionals of processes and densities, and provides asymptotic expansions and optimality properties from smooth estimators.It also presents new regular estimators for functionals of processes, compares histogram and kernel estimators, compares several new estimators for single-index models, and it examines the weak convergence of the estimators.
Authors: Odile Pons
Resource Type: eBook.
Subjects: Nonparametric statistics, Estimation theory
Categories: MATHEMATICS / Probability & Statistics / Regression Analysis, MATHEMATICS / Applied, MATHEMATICS / Probability & Statistics / General
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 389633
RelevancyScore: 1038
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1037.72192382813
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  Label: Title
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  Data: Functional Estimation For Density, Regression Models And Processes
– Name: Abstract
  Label: Description
  Group: Ab
  Data: This book presents a unified approach on nonparametric estimators for models of independent observations, jump processes and continuous processes. New estimators are defined and their limiting behavior is studied. From a practical point of view, the book expounds on the construction of estimators for functionals of processes and densities, and provides asymptotic expansions and optimality properties from smooth estimators.It also presents new regular estimators for functionals of processes, compares histogram and kernel estimators, compares several new estimators for single-index models, and it examines the weak convergence of the estimators.
– Name: Author
  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Odile+Pons%22">Odile Pons</searchLink>
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  Data: eBook.
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  Data: <searchLink fieldCode="DE" term="%22Nonparametric+statistics%22">Nonparametric statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Estimation+theory%22">Estimation theory</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 519.544
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Nonparametric statistics
        Type: general
      – SubjectFull: Estimation theory
        Type: general
    Titles:
      – TitleFull: Functional Estimation For Density, Regression Models And Processes
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Odile Pons
      – PersonEntity:
          Name:
            NameFull: Odile Pons
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      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2011
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9789814343732
            – Type: isbn-electronic
              Value: 9789814343749
          Titles:
            – TitleFull: Functional Estimation For Density, Regression Models And Processes
              Type: main
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