Описание
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.
Детали книги
Формат
Мягкая обложка
Страницы
380 страниц
Язык
Английский
Опубликовано
Jan 29, 2024
Издатель
Chapman and Hall/CRC
Издания
2 editions
ISBN-10
103211813X
ISBN-13
9781032118130