Estimation of population mean using imputation techniques in sample surveys

G. N. Singh, Kumari Priyanka, Jong Min Kim, Sarjinder Singh

    Research output: Contribution to journalArticlepeer-review

    11 Scopus citations


    To deal with the problems of non-response, one-parameter classes of imputation techniques have been suggested and their corresponding point estimators have been proposed. The proposed classes of estimators include several other estimators as a particular case for different values of the parameter. A design based approach is used to compare the proposed strategy with the existing strategies. Theoretical results have been verified through simulation studies handling real data examples.

    Original languageEnglish (US)
    Pages (from-to)67-74
    Number of pages8
    JournalJournal of the Korean Statistical Society
    Issue number1
    StatePublished - Mar 2010

    Bibliographical note

    Funding Information:
    The authors appreciate the free access and acknowledge the use of data from the Statistical Abstract of the United States, 1999, 2001 that are available on the internet. The authors are also grateful to the Indian School of Mines University, Dhanbad for providing the financial assistance to carry out the present work.

    Copyright 2010 Elsevier B.V., All rights reserved.


    • Bias
    • Design based approach
    • Imputation
    • Mean square error
    • Missing data
    • Non-response

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