Add to ORKGThe two parameter gamma distribution with mean [mu] and shape [tau] is widely used in reliability and life data analysis. Unlike the normal distribution, which also has two parameters describing the location and the scale, inference for the mean parameter of the gamma distribution is much more complicated (Jensen, 1986) and consequently less well developed. In this paper, a method of averaging is proposed to obtain confidence intervals for the mean parameter of the gamma distribution at an arbitrary level of significance. Numerical examples showed that this method is not only simple but also very accurate.Confidence distribution function saddlepoint method Stirling formula
We provide an estimation procedure of the two-parameter Gamma distribution based on the Algorithmic ...
When modeling real phenomena, special cases of the generalized gamma distribution and the generalize...
This paper proposes a new goodness-of-fit for the two-parameter distribution. It is based on a funct...
Inferential methods for constructing an upper confidence limit for an upper percentile and for findi...
The gamma distribution is often used as a model for positively skewed distributions. The median is b...
This paper discusses new approaches to parameter estimation of gamma distribution based on represent...
In this paper, we introduce the record values arising from gamma distribution with three parameters....
This paper derives the minimum variance unbiased estimate of the reliability function associated wit...
It is well-known that maximum likelihood (ML) estimators of the two parame- ters in a Gamma distribu...
The paper considers the classical Goodness of Fit test. It suggests to use the Gamma distribution...
[[abstract]]In this paper, the more convenient estimators of both parameters of the gamma distributi...
[[abstract]]A conditional method of inference is used to derive confidence intervals for the locatio...
Herein, we present four methods for constructing confidence intervals for the ratio of the coefficie...
This paper introduced a new life time data analysis distribution name three parameters quasi gamma d...
Let $X_1,\ldots,X_n$ be a random sample from the Gamma distribution with density $f(x)=\lambda^{\alp...
We provide an estimation procedure of the two-parameter Gamma distribution based on the Algorithmic ...
When modeling real phenomena, special cases of the generalized gamma distribution and the generalize...
This paper proposes a new goodness-of-fit for the two-parameter distribution. It is based on a funct...
Inferential methods for constructing an upper confidence limit for an upper percentile and for findi...
The gamma distribution is often used as a model for positively skewed distributions. The median is b...
This paper discusses new approaches to parameter estimation of gamma distribution based on represent...
In this paper, we introduce the record values arising from gamma distribution with three parameters....
This paper derives the minimum variance unbiased estimate of the reliability function associated wit...
It is well-known that maximum likelihood (ML) estimators of the two parame- ters in a Gamma distribu...
The paper considers the classical Goodness of Fit test. It suggests to use the Gamma distribution...
[[abstract]]In this paper, the more convenient estimators of both parameters of the gamma distributi...
[[abstract]]A conditional method of inference is used to derive confidence intervals for the locatio...
Herein, we present four methods for constructing confidence intervals for the ratio of the coefficie...
This paper introduced a new life time data analysis distribution name three parameters quasi gamma d...
Let $X_1,\ldots,X_n$ be a random sample from the Gamma distribution with density $f(x)=\lambda^{\alp...
We provide an estimation procedure of the two-parameter Gamma distribution based on the Algorithmic ...
When modeling real phenomena, special cases of the generalized gamma distribution and the generalize...
This paper proposes a new goodness-of-fit for the two-parameter distribution. It is based on a funct...