, using multiple-imputation methods, on regression estimates for agricultural household surveys. The current study also … analyzes the impact of multiple-imputation on regression results, when all the variables in the regression have missing … observations. Finally, the current study compares the impact of univariate multiple imputation with multivariate normal multiple …

survival outcomes. In Chapter II, we develop multiple imputation methods based on restricted mean models. The imputation method … survival information. Once multiple imputation is completed, the analyst has augmented uncensored datasets for standard …

To measure income inequality with right-censored (top-coded) data, we propose multiple-imputation methods for …

. This paper presents a new cross-country panel dataset with no missing value. We make use of a new method of multiple … imputation that has recently been developed by Honaker and King (2010) to deal specifically with time-series cross-section data …

several approaches have been proposed to impute missing values. In present work I will adopt multiple imputation to impute …