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Statistical analysis with missing data

Author: Roderick J A Little; Donald B Rubin
Publisher: New York : Wiley, ©1987.
Series: Wiley series in probability and mathematical statistics., Applied probability and statistics.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

Blending theory and application, this study reviews historical approaches to the subject and provides rigorous yet simple methods for multivariate analysis with missing values.

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Additional Physical Format: Online version:
Little, Roderick J.A.
Statistical analysis with missing data.
New York : Wiley, ©1987
(OCoLC)647432197
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Roderick J A Little; Donald B Rubin
ISBN: 0471802549 9780471802549
OCLC Number: 14097988
Description: xiv, 278 pages ; 24 cm.
Contents: Part I: Overview and historical approaches --
1. Introduction --
2. Missing data in experiments --
3. Quick methods for multivariate data with missing values --
4. Nonresponse in sample surveys --
Part II: Likelihood-based approaches to the analysis of missing data --
5. Theory of inference based on the likelihood function --
6. Methods based on factoring the likelihood, ignoring the missing -data mechanism --
7. Maximum likelihood for general patterns of missing data: introduction and theory with ignorable nonresponse --
8. Maximum likelihood estimation for multivariate normal examples, ignoring the missing-data mechanism --
9. Models for partially classified contingency tables, ignoring the missing-data mechanism --
10. Mixed normal and nonnormal data with missing values, ignoring the missing-data mechanism --
11. Nonignorable missing-data models --
12. The model-based approach to survey nonresponse.
Series Title: Wiley series in probability and mathematical statistics., Applied probability and statistics.
Responsibility: Roderick J.A. Little, Donald B. Rubin.
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