Abstract
SUMMARY Olkin (1958) proposed a multivariate generalization of the ratio estimator and Singh (1967) proposed a multivariate generalization of the product estimator of Murthy (1964). This note considers an alternative multivariate generalization of the ratio estimator for an arbitrary sampling design and shows that, to a first order of approximation, it has the same variance as Olkin's estimator. The multivariate ratio estimators are compared with the multivariate product and regression estimators with respect to variance and ease of computation. For the calculation of the multivariate ratio and product estimates an iterative procedure is suggested and demonstrated by working out an example.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.