Signatur:
19/M 06.0246
Beschreibung / Inhaltsverzeichnis:
PART I: OVERVIEW AND BASIC APPROACHES. - Introduction. - Missing Data in Experiments. - Complete-Case and Available-Case Analysis, Including Weighting Methods. . - Single Imputation Methods. - Estimation of Imputation Uncertainty. - PART II: LIKELIHOOD-BASED APPROACHES TO THE ANALYSIS OF MISSING DATA. - Theory of Inference Based on the Likelihood Function. . - Methods Based on Factoring the Likelihood, Ignoring the Missing-Data Mechanism. - Maximum Likelihood for General Patterns of Missing Data: Introduction and Theory with Ignorable Nonresponse. - Large-Sample Inference Based on Maximum Likelihood Estimates. - Bayes and Multiple Imputation. - PART III: LIKELIHOOD-BASED APPROACHES TO THE ANALYSIS OF MISSING DATA: APPLICATIONS TO SOME COMMON MODELS. - Multivariate Normal Examples, Ignoring the Missing-Data Mechanism. - Models for Robust Estimation. - Models for Partially Classified Contingency Tables, Ignoring the Missing-Data Mechanism. - Mixed Normal and Nonnormal Data with Missing Values, Ignoring the Missing-Data Mechanism. - Nonignorable Missing-Data Models.
Materialart:
Monographie ausleihbar
Seiten:
xv, 381 S.
,
graph. Darst.
Ausgabe:
2nd ed.
ISBN:
0471183865
Serie:
Wiley series in probability and statistics
Klassifikation:
Mathematik
Standort:
Lesesaal
Zweigbibliothek:
GFZ Bibliothek
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