It is often necessary to find a Weibull distribution with specified mean, variance, and location parameter (e.g., Ek et al. 1975; Goulding & Shirley 1979). The usual approach involves the use of some iterative numerical procedure for computing the parameters. An approximation which simplifies the computation and makes it less costly is presented here. This method can be used with a pocket calculator. Greenwood & Durand (I960) used a similar method for maximum likelihood estimation of Gamma parameters. The (three-parameters) Weibull distribution is F(x) = 1- exp V-a(x-c)hr\, c^x< oo, with density f(x) = abix-cj^1 V-a(x-c)hl. The mean and variance are fji = c + ir1/ * T (l + l/b) (Ia) er2 = a-2/b |T (1+2/b)- r 2 ( l + l / £ ) ] ...
As is well known, estimating parameters of the tree-parameter weibull distribution is a complicated ...
In this paper, we use the setup proposed by Balakrishnan and Ag-garwala (2000) to compute approximat...
The Weibull distribution, an extreme value distribution, is frequently used to model survival, relia...
For the 2-parameter Weibull distribution function F(t) = 1 - exp(-t/b)/sup c/, t > 0, with c and b p...
The three-parameter Weibull distribution is a commonly-used distribution for the study of reliabilit...
Taylor series for the first four moments of the coefficients of variation in sampling from a 2-param...
This work involves the comparisons of various estimates of the parameters of the Weibull distributio...
Abstract:- In order to estimate the parameters of a Weibull distribution, we study the performance o...
This paper examines the estimation comparison of two methods for Weibull parameters, one is the maxi...
Employing the approach proposed by Z. Chen for constructing an exact confidence interval for the loc...
Employing the approach proposed by Z. Chen for constructing an exact confidence interval for the loc...
Employing the approach proposed by Z. Chen for constructing an exact confidence interval for the loc...
Employing the approach proposed by Z. Chen for constructing an exact confidence interval for the loc...
Felix Noyanim Nwobi and Chukwudi Anderson Ugomma published an article in 2014 titled "A Comparison o...
The versatility of the Weibull distribution greatly contributes to its wide use in reliability and l...
As is well known, estimating parameters of the tree-parameter weibull distribution is a complicated ...
In this paper, we use the setup proposed by Balakrishnan and Ag-garwala (2000) to compute approximat...
The Weibull distribution, an extreme value distribution, is frequently used to model survival, relia...
For the 2-parameter Weibull distribution function F(t) = 1 - exp(-t/b)/sup c/, t > 0, with c and b p...
The three-parameter Weibull distribution is a commonly-used distribution for the study of reliabilit...
Taylor series for the first four moments of the coefficients of variation in sampling from a 2-param...
This work involves the comparisons of various estimates of the parameters of the Weibull distributio...
Abstract:- In order to estimate the parameters of a Weibull distribution, we study the performance o...
This paper examines the estimation comparison of two methods for Weibull parameters, one is the maxi...
Employing the approach proposed by Z. Chen for constructing an exact confidence interval for the loc...
Employing the approach proposed by Z. Chen for constructing an exact confidence interval for the loc...
Employing the approach proposed by Z. Chen for constructing an exact confidence interval for the loc...
Employing the approach proposed by Z. Chen for constructing an exact confidence interval for the loc...
Felix Noyanim Nwobi and Chukwudi Anderson Ugomma published an article in 2014 titled "A Comparison o...
The versatility of the Weibull distribution greatly contributes to its wide use in reliability and l...
As is well known, estimating parameters of the tree-parameter weibull distribution is a complicated ...
In this paper, we use the setup proposed by Balakrishnan and Ag-garwala (2000) to compute approximat...
The Weibull distribution, an extreme value distribution, is frequently used to model survival, relia...