Statistical Methods for Handling Incomplete Data Kim Jae Kwang
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. FeaturesUses the mean score equation as a building block for developing the theory for missing data an… Celý popis ↓
Porovnanie cien Statistical Methods for Handling Incomplete Data Kim Jae Kwang
Popis Statistical Methods for Handling Incomplete Data Kim Jae Kwang
Statistical Methods for Handling Incomplete Data Kim Jae Kwang
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. FeaturesUses the mean score equation as a building block for developing the theory for missing data analysisProvides comprehensive coverage of computational techniques for missing data analysisPresents a rigorous treatment of imputation techniques, including multiple imputation fractional imputationExplores the most recent advances of the propensity score method and estimation techniques for nonignorable missing data Statistical Methods for Handling Incomplete Data covers the most up-to-date statistical theories and computational methods for analyzing incomplete data.
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