Taylor series for the first four moments of the coefficients of variation in sampling from a 2-parameter Weibull density are given: they are taken as far as the coefficient of n/sup -24/. From these a four moment approximating distribution is set up using summatory techniques on the series. The shape parameter is treated in a similar way, but here the moment equations are no longer explicit estimators, and terms only as far as those in n/sup -12/ are given. The validity of assessed moments and percentiles of the approximating distributions is studied. Consideration is also given to properties of the moment estimator for 1/c
We suggest a procedure for estimating Nth degree polynomial approximations to unknown (or known) pro...
In this paper, we propose a method for the parameter estimation of a Weibull distribution. It is bas...
SUMMARY. This paper discusses sufficient conditions for standard Taylor-expansion based approximatio...
For the 2-parameter Weibull distribution function F(t) = 1 - exp(-t/b)/sup c/, t > 0, with c and b p...
It is often necessary to find a Weibull distribution with specified mean, variance, and location par...
Abstract:- In order to estimate the parameters of a Weibull distribution, we study the performance o...
Moments and cumulants are commonly used to characterize the probability distribution or observed dat...
Moments and cumulants are commonly used to characterize the probability distribution or ob-served da...
This work involves the comparisons of various estimates of the parameters of the Weibull distributio...
We suggest a procedure for estimating Nth degree polynomial approximations to unknown (or known) pro...
This paper is concerned with the modifications of maximum likelihood, moments and percentile estimat...
We suggest a procedure for estimating Nth degree polynomial approximations to unknown (or known) pro...
Estimation of Weibull distribution shape and scale parameters is accomplished through use of symmetr...
In this paper, we propose a method for the parameter estimation of a Weibull distribution. It is bas...
In this paper, we propose a method for the parameter estimation of a Weibull distribution. It is bas...
We suggest a procedure for estimating Nth degree polynomial approximations to unknown (or known) pro...
In this paper, we propose a method for the parameter estimation of a Weibull distribution. It is bas...
SUMMARY. This paper discusses sufficient conditions for standard Taylor-expansion based approximatio...
For the 2-parameter Weibull distribution function F(t) = 1 - exp(-t/b)/sup c/, t > 0, with c and b p...
It is often necessary to find a Weibull distribution with specified mean, variance, and location par...
Abstract:- In order to estimate the parameters of a Weibull distribution, we study the performance o...
Moments and cumulants are commonly used to characterize the probability distribution or observed dat...
Moments and cumulants are commonly used to characterize the probability distribution or ob-served da...
This work involves the comparisons of various estimates of the parameters of the Weibull distributio...
We suggest a procedure for estimating Nth degree polynomial approximations to unknown (or known) pro...
This paper is concerned with the modifications of maximum likelihood, moments and percentile estimat...
We suggest a procedure for estimating Nth degree polynomial approximations to unknown (or known) pro...
Estimation of Weibull distribution shape and scale parameters is accomplished through use of symmetr...
In this paper, we propose a method for the parameter estimation of a Weibull distribution. It is bas...
In this paper, we propose a method for the parameter estimation of a Weibull distribution. It is bas...
We suggest a procedure for estimating Nth degree polynomial approximations to unknown (or known) pro...
In this paper, we propose a method for the parameter estimation of a Weibull distribution. It is bas...
SUMMARY. This paper discusses sufficient conditions for standard Taylor-expansion based approximatio...