statistical methods for handling incomplete data

商品の説明

＜p＞Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. ＜strong＞Statistical Methods for Handling Incomplete Data＜/strong＞ covers the most up-to-date statistical theories and computational methods for analyzing incomplete data.＜/p＞ ＜p＞Features＜/p＞ ＜ul＞ ＜li＞＜/li＞ ＜li＞Uses the mean score equation as a building block for developing the theory for missing data analysis＜/li＞ ＜li＞＜/li＞ ＜li＞Provides comprehensive coverage of computational techniques for missing data analysis＜/li＞ ＜li＞＜/li＞ ＜li＞Presents a rigorous treatment of imputation techniques, including multiple imputation fractional imputation＜/li＞ ＜li＞＜/li＞ ＜li＞Explores the most recent advances of the propensity score method and estimation techniques for nonignorable missing data＜/li＞ ＜li＞＜/li＞ ＜li＞Describes a survey sampling application＜/li＞ ＜li＞＜/li＞ ...