The gamma distribution is often used to model data with right skewness. Smooth tests of goodness of fit are proposed for this distribution. Their powers are compared with powers of the Anderson–Darling test and tests based on the empirical Laplace transform, the empirical moment generating function and the independence of the mean and coefficient of variation that characterizes the gamma distribution
The skew-Laplace distribution is frequently used to fit the logarithm of particle sizes and it is al...
The paper considers the classical Goodness of Fit test. It suggests to use the Gamma distribution...
The objective of this research is to develop a new goodness-of-fit test for the gamma distribution. ...
The gamma distribution is often used to model data with right skewness. Smooth tests of goodness of ...
The gamma distribution is often used to model data with right skewness. Smooth tests of goodness of ...
The gamma distribution is often used to model data with right skewness. Smooth tests of goodness of ...
The gamma distribution is often used to model data with right skewness. Smooth tests of goodness of ...
AbstractIn this paper, we discuss the use of the coefficient of skewness as a goodness-of-fit test t...
This paper proposes a new goodness-of-fit for the two-parameter distribution. It is based on a funct...
Tests for the Laplace distribution based on the sample skewness and kurtosis coefficients are shown ...
This thesis studies a new goodness-of-fit test for the gamma distribution with known shape parameter...
The purpose of a one-sample test of fit is to give an objective measure of how well a probability mo...
The skew-Laplace distribution is frequently used to fit the logarithm of particle sizes and it is al...
Smooth tests of goodness of fit assess the fit of data to a given probability density function withi...
summary:Up to present for modelling and analyzing of random phenomenons, some statistical distributi...
The skew-Laplace distribution is frequently used to fit the logarithm of particle sizes and it is al...
The paper considers the classical Goodness of Fit test. It suggests to use the Gamma distribution...
The objective of this research is to develop a new goodness-of-fit test for the gamma distribution. ...
The gamma distribution is often used to model data with right skewness. Smooth tests of goodness of ...
The gamma distribution is often used to model data with right skewness. Smooth tests of goodness of ...
The gamma distribution is often used to model data with right skewness. Smooth tests of goodness of ...
The gamma distribution is often used to model data with right skewness. Smooth tests of goodness of ...
AbstractIn this paper, we discuss the use of the coefficient of skewness as a goodness-of-fit test t...
This paper proposes a new goodness-of-fit for the two-parameter distribution. It is based on a funct...
Tests for the Laplace distribution based on the sample skewness and kurtosis coefficients are shown ...
This thesis studies a new goodness-of-fit test for the gamma distribution with known shape parameter...
The purpose of a one-sample test of fit is to give an objective measure of how well a probability mo...
The skew-Laplace distribution is frequently used to fit the logarithm of particle sizes and it is al...
Smooth tests of goodness of fit assess the fit of data to a given probability density function withi...
summary:Up to present for modelling and analyzing of random phenomenons, some statistical distributi...
The skew-Laplace distribution is frequently used to fit the logarithm of particle sizes and it is al...
The paper considers the classical Goodness of Fit test. It suggests to use the Gamma distribution...
The objective of this research is to develop a new goodness-of-fit test for the gamma distribution. ...