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International Conference on Statistics, Combinatorics and Related Areas and the Eighth International Conference of Forum for Interdisciplinary Mathematics
December 19-21, 2001
School of Mathematics and Applied Statistics, University of Wollongong
Wollongong, NSW, Australia

Organizers
Satya N. Mishra (University of South Alabama), Chandra M. Gulati (University of Wollongong)

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Ranked Set Sampling Design as an Alternative Approach to Estimate Crop Yield
by
Binod Kumar
Department of Statistics, Patna University, Patna 800 005, Bihar, INDIA
Coauthors: Arun K Sinha (Department of Statistics,Patna University,Patna 800 005, Bihar, INDIA)

The present system of estimating crop yield is based on simple random sampling method involving crop cutting experiments that are quite expensive as well as time consuming. As field personnel appear to be more acquainted with the existing scenarios, their experience and knowledge could be exploited to obtain more efficient estimates, but these factors are not taken into account by the existing methods. Ranked set sampling (RSS) method as suggested by McIntyre (1952) utilises inexpensive and easily available outside information to provide a more structured sample. With these facts in view in this paper we make an effort to illustrate the estimation of crop yield more efficiently by RSS designs using real data sets of crop cutting experiments.

Date received: October 16, 2001

Copyright © 2001 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # caid-46.