Linear estimation of standard deviation of logistic distribution: theory and algorithm Academic Article uri icon

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

publication date

  • 2005

keywords

  • Fortran 
  • Logistic Distribution 
  • Order Statistics 
  • Parameter Estimation 
  • Relative Efficiencies

number of pages

  • 15

start page

  • 199

end page

  • 214

volume

  • 15

issue

  • 2