Standard Deviation of Logistic Distribution: Theory and Algorithm

by Patrick G. O. Weke and Thomas Achia.

Abstract: The paper presents a theoretical method based on order statistics and a FORTRAN program for computing the variance and relative efficiencies of the standard deviation of the logistic population with respect to the Cramer-Rao lower variance bound and the best linear unbiased estimators (BLUE's) when the mean is unknown. A method based on a pair of single spacing and the 'zero-one' weights rather than the optimum weights are used. A comparison of an estimator based on four order statistics with the traditional estimators is considered.

Key Words: Order Statistics, Logistic Distribution, Parameter Estimation, Fortran, Relative Efficiencies

Authors:
JPatrick G. O. Weke, pweke@yahoo.com
Thomas Achia, achiathomas@hotmail.com

Editor: Seoh, Munsup,munsup.seoh@wright.edu

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