Add to ORKGsummary:The aim of this article is to develop estimation functions by confidence regions for the inverse Gaussian distribution with two parameters and to construct tests for hypotheses testing concerning the parameter $\lambda $ when the mean parameter $\mu $ is known. The tests constructed are uniformly most powerful tests and for testing the point null hypothesis it is also unbiased
SUMMARY. The class of inverse Gaussian (IG) distributions share substantial analyt-ical elegance wit...
This paper gives an empirical investigation of some tests of goodness of fit for the inverse Gaussia...
This paper gives an empirical investigation of some tests of goodness of fit for the inverse Gaussia...
summary:The aim of this article is to develop estimation functions by confidence regions for the inv...
This paper deals with preliminary test estimation for mean of an inverse Gaussian population. Prelim...
We propose a new class of goodness-of-fit tests for the inverse Gaussian distribution based on a cha...
Modified Kolmogorov- Smirnov (KS), Anderson-Darling (AD), Cramer-von Mises (CV), Kupier (V), and Wat...
peer reviewedThe standard efficient testing procedures in the Generalized Inverse Gaussian (GIG) fam...
In this paper, we study the interval estimation for the mean from inverse Gaussian distribution. Thi...
The standard efficient testing procedures in the Generalized Inverse Gaussian (GIG) family (also kno...
This paper provides some new goodness of fit tests which can be used for assessing the appropriatene...
This thesis deals with some inference problems related with inverse Gaussian models. In Chapter 2, w...
Zhang (2019) presented a general estimation approach based on the Gaussian distribution for general ...
The inverse Gaussian distribution is one of the most widely used distributions for modelling positiv...
We give a new characterization of inverse Gaussian distributions using the re-gression of a suitable...
SUMMARY. The class of inverse Gaussian (IG) distributions share substantial analyt-ical elegance wit...
This paper gives an empirical investigation of some tests of goodness of fit for the inverse Gaussia...
This paper gives an empirical investigation of some tests of goodness of fit for the inverse Gaussia...
summary:The aim of this article is to develop estimation functions by confidence regions for the inv...
This paper deals with preliminary test estimation for mean of an inverse Gaussian population. Prelim...
We propose a new class of goodness-of-fit tests for the inverse Gaussian distribution based on a cha...
Modified Kolmogorov- Smirnov (KS), Anderson-Darling (AD), Cramer-von Mises (CV), Kupier (V), and Wat...
peer reviewedThe standard efficient testing procedures in the Generalized Inverse Gaussian (GIG) fam...
In this paper, we study the interval estimation for the mean from inverse Gaussian distribution. Thi...
The standard efficient testing procedures in the Generalized Inverse Gaussian (GIG) family (also kno...
This paper provides some new goodness of fit tests which can be used for assessing the appropriatene...
This thesis deals with some inference problems related with inverse Gaussian models. In Chapter 2, w...
Zhang (2019) presented a general estimation approach based on the Gaussian distribution for general ...
The inverse Gaussian distribution is one of the most widely used distributions for modelling positiv...
We give a new characterization of inverse Gaussian distributions using the re-gression of a suitable...
SUMMARY. The class of inverse Gaussian (IG) distributions share substantial analyt-ical elegance wit...
This paper gives an empirical investigation of some tests of goodness of fit for the inverse Gaussia...
This paper gives an empirical investigation of some tests of goodness of fit for the inverse Gaussia...