Imputation of Missing Values by Using Raw Moments

Umair Sohail, Muhammed; Shabbir, Javid; Sohil, Fariha

doi:10.21307/stattrans-2019-002

Author

Umair Sohail Muhammed (Quaid-i-Azam University, Islamabad, Pakistan), Shabbir Javid (Quaid-i-Azam University, Islamabad, Pakistan), Sohil Fariha (Government College University, Faisalabad, Pakistan)

Title

Imputation of Missing Values by Using Raw Moments

Source

Statistics in Transition, 2019, vol. 20, nr 1, s. 21-40, tab., rys., aneks, bibliogr. s. 38-39

Keyword

Metody statystyczne, Metoda momentów, Estymacja
Statistical methods, Moment method, Estimation

Note

summ.

Abstract

The estimation of population parameters might be quite laborious and inefficient, when the sample data have missing values. In comparison follow-up visits, the method of imputation has been found to be a cheaper procedure from a cost point of view. In the present study, we can enhance the performance of imputation procedures by utilizing the raw moments of the auxiliary information rather than their ranks, especially, when the ranking of the auxiliary variable is expensive or difficult to do so. Equations for bias and mean squared error are obtained by large sample approximation. Through the numerical and simulation studies it can be easily understood that the proposed method of imputation can outperform their counterparts. (original abstract)

Accessibility

The Main Library of the Cracow University of Economics
The Library of Warsaw School of Economics
The Library of University of Economics in Katowice

Full text

Bibliography

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Cited by

ISSN

1234-7655

Language

eng

URI / DOI

BazEkon - The Main Library of the Cracow University of Economics

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