Partial identification of probability distributions / Charles F. Manski.
Material type: TextSeries: Springer series in statisticsPublication details: New York ; London : Springer, 2003.Description: 200 pISBN:- 9780387004549 (hbk.) :
- 0387004548 (alk. paper)
- 519.24 MAN
- QA273.6
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.