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Nonparametric smoothing and lack-of-fit tests / Jeffrey D. Hart.

By: Material type: TextTextSeries: Springer series in statistics | Springer series in statisticsPublication details: New York : Springer, c1997.Description: xii, 287 p. : ill. ; 25 cmISBN:
  • 9780387949802 (alk. paper)
  • 0387949801 (alk. paper)
Subject(s): DDC classification:
  • 519.5 HAR
LOC classification:
  • QA278 .H357 1997
Contents:
1.Introduction -- 2.Some basic ideas of smoothing -- 3.Statistical properties of smoothers -- 4.Data-driven choice of smoothing parameters -- 5.Classical lack-of-fit tests-- 6.Lack-of-fit tests based on linear smoothers -- 7.Testing for association via automated order selection -- 8.Data-driven lack-of-fit tests for general parametric models -- 9.Extending the scope of application -- 10.Some examples.
Holdings
Item type Current library Call number Copy number Status Date due Barcode
Long Loan TUS: Midlands, Main Library Athlone General Lending 519.5 HAR (Browse shelf(Opens below)) 1 Available 00211122

Includes bibliographical references (p. 271-279) and indexes.

1.Introduction -- 2.Some basic ideas of smoothing -- 3.Statistical properties of smoothers -- 4.Data-driven choice of smoothing parameters -- 5.Classical lack-of-fit tests-- 6.Lack-of-fit tests based on linear smoothers -- 7.Testing for association via automated order selection -- 8.Data-driven lack-of-fit tests for general parametric models -- 9.Extending the scope of application -- 10.Some examples.

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