2026-10-24T00:14:46Zhttps://gumushane-rdlopen.rawdatalibrary.net/oai/request

oai:gumushane-rdlopen.rawdatalibrary.net:gumushane/124332026-10-23T18:13:28Zopenairecom_gumushane_10000col_gumushane_10001com_gumushane_10007col_gumushane_10180

Estimation of Population Mean Using Some Improved Imputation Methods for Missing Data in Sample SurveysPandey, M.K.Singh, G.N.Zaman, ToglabiasImputationmean squared error (MSE)percent relative efficiency (PRE)Abstract.: In this research article, we present novel imputation methods designed to address missing data challenges in sample surveys. We then introduce innovative estimation procedures for calculating population means based on these methods. Our study thoroughly examines the properties of these new estimation procedures, assessing their biases and mean square errors. Through the use of both real and simulated data sets, we demonstrate the superior performance of our proposed estimators compared to existing methods in similar scenarios. In conclusion, we offer practical recommendations for survey practitioners.Taylor and Francis Ltd.2025Articlehttps://rdlopen.rawdatalibrary.net/r/gumushane/12433https://doi.org/10.1080/03610926.2024.23693140361-0926enCommunications in Statistics - Theory and Methodsinfo:eu-repo/semantics/closedAccessinfo:eu-repo/semantics/articlehttps://gumushane-rdlopen.rawdatalibrary.net/tr/items/gumushane/12433