Multiple imputation confidence intervals for the mean of the discrete distributions for incomplete data
Abstract
Confidence intervals for the mean of discrete exponential families are widely used in many applications. Since missing data are commonly encountered, the interval estimation for incomplete data is an important problem. The performances of the existing multiple imputation confidence intervals are unsatisfactory. We propose modified multiple imputation confidence intervals to improve the existing confidence intervals for the mean of the discrete...
Paper Details
Title
Multiple imputation confidence intervals for the mean of the discrete distributions for incomplete data
Published Date
Nov 16, 2021
Journal
Volume
41
Issue
7
Pages
1172 - 1190
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