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Adjusted jackknife for imputation under unequal probability sampling without replacement

Berger, Yves G. and Rao, J.N.K. (2006) Adjusted jackknife for imputation under unequal probability sampling without replacement Journal of the Royal Statistical Society: Series B (Statistical Methodology), 68, (3), pp. 531-547. (doi:10.1111/j.1467-9868.2006.00555.x).

Record type: Article


Imputation is commonly used to compensate for item non-response in sample surveys. If we treat the imputed values as if they are true values, and then compute the variance estimates by using standard methods, such as the jackknife, we can seriously underestimate the true variances. We propose a modified jackknife variance estimator which is defined for any without-replacement unequal probability sampling design in the presence of imputation and non-negligible sampling fraction. Mean, ratio and random-imputation methods will be considered. The practical advantage of the method proposed is its breadth of applicability

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Published date: 2006


Local EPrints ID: 34129
ISSN: 1369-7412
PURE UUID: ccaa78ad-f544-479f-b913-0756b080d005

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Date deposited: 16 May 2006
Last modified: 17 Jul 2017 15:51

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