Study of imputation based generalized classes of dual to product cum dual to ratio estimators for missing data in two-phase sampling

Krishnajyothi Nath, Deepjan Gohain, Neelutpol Gogoi, B.K. SINGH

Abstract


Present paper proposes three generalized classes of estimators for estimating population mean under the framework of two-phase sampling design in the presence of non-response in the study variable by using auxiliary information and also the expressions for bias and mean square error are derived. Further, theoretical results stating superiority of the proposed estimators, over the existing estimators by an empirical study based on different data sets from the classical statistical literature are shown.

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Published: 2021-10-15

How to Cite this Article:

Krishnajyothi Nath, Deepjan Gohain, Neelutpol Gogoi, B.K. SINGH, Study of imputation based generalized classes of dual to product cum dual to ratio estimators for missing data in two-phase sampling, J. Math. Comput. Sci., 11 (2021), 7921-7938

Copyright © 2021 Krishnajyothi Nath, Deepjan Gohain, Neelutpol Gogoi, B.K. SINGH. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

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