This study aims to explore the Bootstrap variance estimation of different survey statistics. The contribution of sampling design used to select the original sample in Bootstrap variance estimation is basically investigated under different choice of resampling design. This study will help in understanding the consequence of choosing a wrong resampling design while Bootstrap methods are intended to estimate the variance of survey statistics. Also knowledge about the performance of Bootstrap methods would be enriched through this study.
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Mohammad Samsul Alam has accomplished his M.S. degree in Applied Statistics from University of Dhaka. He is also accomplished his B.S. (Honors) degree in Applied Statistics from the same institution. He is involved in various statistical research work.
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Taschenbuch. Zustand: Neu. Design Sensitivity of Bootstrap Methods in Variance Estimation | Bootstrap Variance Estimation in Sample Survey | Mohammad Samsul Alam (u. a.) | Taschenbuch | 72 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9783659444418 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Artikel-Nr. 113818685
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