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Statistical Analysis With Missing Data

Ghosh, Subir·1988·Technometrics

Abstract

Preface.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.References.Author Index.Subject Index.

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Metadata

Authors
Ghosh, S.
Venue
Technometrics
Published
1988-11
Volume
30
Issue
4
Pages
455-455
ISSN
  • 0040-1706 (ISSN-L)
  • 1537-2723
OpenAlex
W3197494818
Cited by
4,576
References
0
FWCI
29.37
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Statistical Analysis With Missing Data. https://app.cochat.ai/papers/10.1080/00401706.1988.10488446
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Ghosh, S. (1988). Statistical Analysis With Missing Data. Technometrics. https://doi.org/10.1080/00401706.1988.10488446

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