Modification of Hansen-Hurwitz’s Estimators for Negatively Correlated Variates

Authors

Jonathan A. Ikughur, Federal University, Wukari

Keywords

Negative correlation, multi-character survey, inverse transformation, PPS.

Abstract

Most estimators in probability proportional to size (PPS) with replacement (WR) sampling design are defined for positively correlated variables. The literature on estimators involving negatively correlated variates is underdeveloped. This study utilized the law of inverse proportion to derive selection probabilities to modify the Hansen-Hurwitz’s estimator for use when negatively correlated variables are encountered in surveys. The suggested estimator is unbiased and could perform better than other estimators when information conveyed by correlation coefficient is used.

Author Bio

The author is a staff of the Department of Statistics, Federal University, Wukari.

Publication Title

CBN Journal of Applied Statistics

Issue

1

Volume

5

Recommended Citation

Ikughur, Jonathan A. (2014) "Modification of Hansen-Hurwitz’s Estimators for Negatively Correlated Variates," CBN Journal of Applied Statistics (JAS): Vol. 5: No. 1, Article 1.
Available at: https://dc.cbn.gov.ng/jas/vol5/iss1/1