gogo

Partial identification of probability distributions /

Manski, Charles F.

Partial identification of probability distributions / Charles F. Manski. - New York ; London : Springer, 2003. - 200 p. - Springer series in statistics .

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.

9780387004549 (hbk.) : £56.00 0387004548 (alk. paper)

2003042476


Regression analysis.
Distribution (Probability theory)
Mathematics.
Probability & statistics
Social research & statistics
Econometrics & economic statistics
Maths for engineers

QA273.6

519.24 MAN

Powered by Koha