Statistical Methods for Handling Incomplete Data

Statistical Methods for Handling Incomplete Data

Jae Kwang Kim , Jun Shao
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2024 · Engelska · Pocketbok · 2 editions
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Beskrivning

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.

Bokdetaljer

Format Pocketbok
Sidor 380 sidor
Språk Engelska
Publicerad Jan 29, 2024
Förlag Chapman and Hall/CRC
Upplagor 2 editions
ISBN-10 103211813X
ISBN-13 9781032118130
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