Estimation of a Finite Population Mean under Random Nonresponse Using Kernel Weights

Nonresponse is a potential source of errors in sample surveys. It introduces bias and large variance in the estimation of finite population parameters. Regression models have been recognized as one of the techniques of reducing bias and variance due to random nonresponse using auxiliary data. In thi...

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Bibliographic Details
Main Authors: Nelson Kiprono Bii, Christopher Ouma Onyango, John Odhiambo
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Journal of Probability and Statistics
Online Access:http://dx.doi.org/10.1155/2020/8090381
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