Partial Identification of Probability Distributions

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ISBN-13:
9780387004549
Erscheinungsdatum:
01.05.2003
Seiten:
179
Autor:
Charles F. Manski
Gewicht:
422 g
Format:
241x162x14 mm
Serie:
Springer Statistics
Sprache:
Englisch
Beschreibung:

The book presents in a rigorous and thorough manner the main elements of Charles Manski's research on partial identification of probability distributions. The approach to inference that runs throughout the book is deliberately conservative and thoroughly nonparametric. There is an enormous scope for fruitful inference using data and assumptions that partially identify population parameters.
Studies of identification aim to characterize the conclusions that one could draw about a population of interest if one were able to observe
a sample of unlimited size generated by a specified sampling process.
This book will be of interest to Ph.D. students and practicising
statisticians and econometricians.
Missing Outcomes * Instrumental Variables * Conditional Prediction with Missing Data * Contaminated Outcomes * Regressions, Short and Long * Response-Based Sampling * Analysis of Treatment Response * Monotone Treatment Response * Monotone Instrumental Variables * The Mixing Problem

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