In this paper we consider nonlinear least squares fitting of the three-parameter inverse Weibull distribution to the given data $(w_i,t_i,y_i)$, $i=1,ldots,n$, $ngeq 3$. As the main result, we show that the least squares estimate exists provided that the data satisfy just the following two natural conditions: (i) $0<t_1<t_2<ldots<t_n$ and (ii) $0<y_1<y_2<ldots<y_n<1$. To this end, an illustrative numerical example is given
summary:A large number of parameters in regression models can be serious obstacle for processing and...
In this paper, a new four parameter lifetime distribution called the Topp Leone Weibull-Lomax distri...
In this dissertation we consider the problem of the existence of best parameters in the Weibull mode...
In this paper we consider nonlinear least squares fitting of the three-parameter inverse Weibull dis...
The inverse Weibull model was developed by Erto [10]. In practice, the unknown parameters of the app...
AbstractThis paper is concerned with the parameter estimation problem for the three-parameter Weibul...
This work focused on comparing three methods of estimating 2-parameter Weibull distribution by using...
International audienceIn this communication, an overview on extreme quantiles estimation for Weibull...
In this paper, the Inverse Exponential distribution was extended using the weibull generalized fami...
We characterise the transmuted inverse Weibull distribution and compare it to many other generalizat...
AbstractFor the simple linear model Y=θ1+βx+ϵ where the error vector follows the elliptically contou...
This contribution deals with the problems of failure intensity of big power plant‘s blocks basely o...
A three parameter probability model, the so called Weibull-exponential distribution was proposed us...
International audienceIn this paper, we consider the problem of the estimation of the Weibull tail-c...
In this study, a new flexible family of distributions is proposed with its statistical properties as...
summary:A large number of parameters in regression models can be serious obstacle for processing and...
In this paper, a new four parameter lifetime distribution called the Topp Leone Weibull-Lomax distri...
In this dissertation we consider the problem of the existence of best parameters in the Weibull mode...
In this paper we consider nonlinear least squares fitting of the three-parameter inverse Weibull dis...
The inverse Weibull model was developed by Erto [10]. In practice, the unknown parameters of the app...
AbstractThis paper is concerned with the parameter estimation problem for the three-parameter Weibul...
This work focused on comparing three methods of estimating 2-parameter Weibull distribution by using...
International audienceIn this communication, an overview on extreme quantiles estimation for Weibull...
In this paper, the Inverse Exponential distribution was extended using the weibull generalized fami...
We characterise the transmuted inverse Weibull distribution and compare it to many other generalizat...
AbstractFor the simple linear model Y=θ1+βx+ϵ where the error vector follows the elliptically contou...
This contribution deals with the problems of failure intensity of big power plant‘s blocks basely o...
A three parameter probability model, the so called Weibull-exponential distribution was proposed us...
International audienceIn this paper, we consider the problem of the estimation of the Weibull tail-c...
In this study, a new flexible family of distributions is proposed with its statistical properties as...
summary:A large number of parameters in regression models can be serious obstacle for processing and...
In this paper, a new four parameter lifetime distribution called the Topp Leone Weibull-Lomax distri...
In this dissertation we consider the problem of the existence of best parameters in the Weibull mode...
Add to ORKG