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Original Articles

Approximating an unknown distribution when distribution information is extremely limited

Pages 501-523 | Received 01 Sep 1996, Published online: 12 May 2011

References

  • Shore , H. 1982 . “Simple approximations for the inverse cumulative function, the density function and the loss integral of the nolmal distribution,” . Applied Statistics , 31 : 108 – 114 .
  • Shore , H. August 1995 . “Some applications of a new two-moment distributional fitting procedure,” . In The 13th International Conference on Production Research August , 704 – 706 . Jerusalem
  • Shore , H. 1996a . “A new estimate of skewness with mean-squared-error smaller than that of the sample skewness,” . Communications in Statistics (Simulation and Computation) , 26 : 403 – 414 .
  • Shore , H. 1996b . “Optimum schedule for preventive maintenance-a general solution for a partially specified time-to-failure distribution,” . Production and Operations Management (An International Journal of the Production and Operations Management Society) , 5 : 1 – 15 .
  • Shore , H. 1996c . “New estimates of the variance, the skewness and the kurtosis, based on the sample means (partial and complete)” Under refereeing
  • Shore , H. 1997a . “Deriving optimal solutions for stochastic inventory models when the lead-time demand distribution is partially specified,” . In Production Economics. , In press .
  • Shore , H. 1997b . “A new approach to analyse non-normal quality data with application to process capability analysis,” . In International Journal of Production Research. , In press .
  • Stuart , A. and Ord , J. K. 1987 . Kendall's Advanced Theory of Statistics. Distribution Theory , Vol. 1 , Griffin & Company, Ltd. .

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