Linear Combination Based Imputation Method for Missing Data in Sample

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Provided by: International Journal of Modern Engineering Research (IJMER)
Topic: Data Management
Format: PDF
To estimate the population mean using auxiliary variable there are many estimators available in literature like-ratio, product, regression, dual-to-ratio estimator and so on. Suppose that all the information of the main variable is present in the sample but only a part of data of the auxiliary variable is available. Then, in this case none of the above estimators could be used. This paper presents an imputation based factor-type class of estimation strategy for population mean in presence of missing values of auxiliary variables.
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