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Partial identification of probability distributions / Charles F. Manski.

By: Material type: TextTextSeries: Springer series in statisticsPublication details: New York ; London : Springer, 2003.Description: 200 pISBN:
  • 9780387004549 (hbk.) :
  • 0387004548 (alk. paper)
Subject(s): DDC classification:
  • 519.24 MAN
LOC classification:
  • QA273.6
Contents:
Introduction: partial identification and credible inference -- 1.Missing outcomes -- 2.Instrumental variables -- 3.Conditional prediction with missing data -- 4.Contaminated outcomes -- 5.Regressions, short and long -- 6.Response-based sampling -- 7.Analysis of treatment response -- 8.Monotone treatment response -- 9.The mixing problem.
Summary: Presenting a non-parametric approach to inference and focusing on the problem of identifying regressions, Manski encourages researchers in disciplines outside the social sciences to reconsider the manner in which they make predictions and inferences from available data.
Holdings
Item type Current library Call number Copy number Status Date due Barcode
Long Loan TUS: Midlands, Main Library Athlone General Lending 519.24 MAN (Browse shelf(Opens below)) 1 Available 00211124

Includes bibliographical references (p. 167-174) and index.

Introduction: partial identification and credible inference -- 1.Missing outcomes -- 2.Instrumental variables -- 3.Conditional prediction with missing data -- 4.Contaminated outcomes -- 5.Regressions, short and long -- 6.Response-based sampling -- 7.Analysis of treatment response -- 8.Monotone treatment response -- 9.The mixing problem.

Presenting a non-parametric approach to inference and focusing on the problem of identifying regressions, Manski encourages researchers in disciplines outside the social sciences to reconsider the manner in which they make predictions and inferences from available data.

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