Statistical Methods for Handling Incomplete Data

Statistical Methods for Handling Incomplete Data
ISBN-10
1482205076
ISBN-13
9781482205077
Category
Mathematics
Pages
221
Language
English
Published
2013-07-23
Publisher
CRC Press
Authors
Jae Kwang Kim, Jun Shao

Description

Along with many examples, this text covers the most up-to-date statistical theories and computational methods for analyzing incomplete data. It presents a thorough treatment of statistical theories of likelihood-based inference with missing data. It also discusses numerous computational techniques and theories on imputation and extensively covers methods involving propensity score weighting, nonignorable missing data, longitudinal missing data, survey sampling, and statistical matching. Some of the research ideas introduced can be developed further for specific applications.

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