Little, R.J.A., Rubin, D.B. 　著

内容

目次

OVERVIEW AND HISTORICAL APPROACHES. Missing Data in Experiments. QuickMethods for Multivariate Data with Missing Values. Nonresponse in SampleSurveys. LIKELIHOOD-BASED APPROACHES TO THE ANALYSIS OF MISSING DATA.Theory of Inference Based on the Likelihood Function. Methods Based onFactoring the Likelihood, Ignoring the Missing Data Mechanism. MaximumLikelihood for General Patterns of Missing Data: Introduction and Theory withIgnorable Nonresponse. Maximum Likelihood Estimation for Multivariate NormalExamples, Ignoring the Missing-Data Mechanism. Models for PartiallyClassified Contingency Tables, Ignoring the Missing Data Mechanism. MixedNormal and Nonrational Data with Missing Values, Ignoring the Missing-DataMechanism. Nonignorable Nonresponse Models. The Model-Based Approach toSurvey Nonresponse. Index.