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International Conference on Statistics, Combinatorics and Related Areas - 7th International Conference of the Forum for Interdisciplinary Mathematics
December 19-21, 2000
Indian Institute of Technology-Bombay
Mumbai, Maharastra, India

Organizers
Satya N. Mishra (University of South Alabama), Sanjeev V. Sabnis (IIT, Bombay)

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Optimal random sampling using the Horvitz-Thompson predictor
by
Jose Elias Rodriguez Muñoz
Apartado Postal 402, Universidad de Guanajuato, GUANAJUATO, GTO., C.P. 36000, MEXICO

In this work we present the framework for inference in sampling continuous spatial populations. We concentrate in the prediction of the integral of a random field by a nonparametric predictor. Also, we will present the continuous version of the Horvitz-Thompson predictor as intuitive unbiased predictor in sampling continuous spatial populations. Finally, we will deduce optimal random sampling designs using the Horvitz-Tompson predictor.

Date received: October 9, 2000

Copyright © 2000 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 # cafr-20.