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REGRESSION TYPE ESTIMATORS FOR RANDOM NON-RESPONSE IN SURVEY SAMPLING

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dc.contributor.authorSingh, Sarjinder
dc.contributor.authorJoarder, Anwar H.
dc.contributor.authorTracy, D.S.
dc.date.accessioned2026-10-25T04:48:06Z
dc.date.issued2000
dc.description.abstractIn this paper, three regression type estimators are suggested for the estimation of finite population mean in two situations of random non-response considered by Tracy and Osahan (1994). The results obtained under the assumption that the number of sampling units on which information could not be obtained due to random non-response follows some distribution. Some suggestions are given for the estimation of the mean square error of the estimators proposed.
dc.identifier.citationSingh, S., Joarder, A.H., & Tracy, D.S. (2000). Regression type estimators for random non-response in survey sampling. Statistica, LX, n.1, 39-44.
dc.identifier.urihttps://repository.ulab.edu.bd/handle/123456789/1246
dc.language.isoen
dc.subjectregression estimators
dc.subjectrandom non-response
dc.subjectsurvey sampling
dc.subjectstatistical inference
dc.subjectmissing data
dc.subjectauxiliary variables
dc.subjectpopulation mean
dc.subjectestimation techniques
dc.subjectdata analysis
dc.subjectsampling methods
dc.titleREGRESSION TYPE ESTIMATORS FOR RANDOM NON-RESPONSE IN SURVEY SAMPLING
dc.typeArticle

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Anwarul Haque Joarder, PhD