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Successive Sampling Using Auxiliary Information on Both the Occasions
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2001
Year
Sampling (Signal Processing)EngineeringPartial ReplacementEstimation StatisticAuxiliary InformationSampling TheorySampling TechniqueSampling (Statistics)BiostatisticsStatistical InferenceSuccessive SamplingPublic HealthEstimation TheorySampling MethodsStatisticsSuccessive Occasions
In successive sampling with partial replacement, an estimator is proposed for the population mean on the second of two successive occasions utilising information available on both the occasions on an auxiliary variate with an unknown population mean. It is shown that the proposed estimator is more efficient than the sample mean and the estimators considered by Sen (1971). An empirical study is also included.