2026-10-23T17:51:40Zhttps://gumushane-rdlopen.rawdatalibrary.net/oai/request

oai:gumushane-rdlopen.rawdatalibrary.net:gumushane/102622026-10-22T11:34:25Zopenairedrivercom_gumushane_10000col_gumushane_10001com_gumushane_10007col_gumushane_10180

Improved estimation of population variance in stratified successive sampling using calibrated weights under non-responsePandey, M. K.Singh, G. N.Zaman, TolgaAl Mutairi, AnedMustafa, Manahil SidAhmedStratified samplingSuccessive samplingAuxiliary informationBiasMean square errorCalibration techniqueRandom non-responseThis paper introduces a new method to estimate the population variance of a study variable in stratified successive sampling over two occasions, while accounting for random non -response. The method uses a logarithmic type estimator and leverages information from a highly positively correlated auxiliary variable. The paper also presents calibrated weights for the new estimator and examines its properties through numerical and simulation studies. The results indicate that the suggested estimator is more effective than the standard estimator for estimating the population variance.CELL PRESS2024-03Articlehttps://rdlopen.rawdatalibrary.net/r/gumushane/10262https://doi.org/10.1016/j.heliyon.2024.e277382405-8440enHELIYONinfo:eu-repo/semantics/openAccessinfo:eu-repo/semantics/articlehttps://gumushane-rdlopen.rawdatalibrary.net/tr/items/gumushane/10262