文章基本信息

标题：ESTIMATION OF MEAN IN PRESENCE OF MISSING DATA UNDER TWO-PHASE SAMPLING SCHEME
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作者：Narendra Singh Thakur ; Kalpana Yadav ; Sharad Pathak 等
期刊名称：Journal of Reliability and Statistical Studies
印刷版ISSN：0974-8024
电子版ISSN：2229-5666
出版年度：2011
卷号：4
期号：2
页码：93-104
出版社：Ankur Printing Palace
摘要：To estimate the population mean with imputation i.e. the technique of substitutingmissing data, there are a number of techniques availablein literature like Ratio method ofimputation, Compromised method of imputation, Mean method of imputation, Ahmed method ofimputation, F-T method of imputation, and so on. If population mean of auxiliary information isunknown then these methods are notuseful and the two-phase sampling is used to obtain thepopulation mean. This paper presents some imputation methods of for missing values in two-phase sampling. Two different sampling designs in two-phase sampling are compared underimputed data. The biasand m.s.e of suggested estimators are derived in the form of populationparameters using the concept of large sample approximation. Numerical study is performed overtwo populations using the expressions of bias and m.s.e and efficiency compared with Ahmedestimators
关键词：Estimation; Missing data; Bias; Mean squared error (M.S.E); Two;-;phase sampling;SRSWOR; Large sample approximation