Smooth tests for the logarithmic distribution are compared with three tests: the first is a test due to Epps and is based on a probability generating function, the second is the Anderson-Darling test, and the third is due to Klar and is based on the empirical integrated distribution function. These tests all have substantially better power than the traditional Pearson-Fisher X² test of fit for the logarithmic. These traditional chi-squared tests are the only logarithmic tests of fit commonly applied by ecologists and other scientists
There is abundant and increasing evidence that the lognormal distribution can account for random var...
Smooth tests of goodness of fit assess the fit of data to a given probability density function withi...
grantor: University of TorontoThe statistical analysis of dichotomous outcome variables is...
Smooth tests for the logarithmic distribution are compared with three tests: the first is a test due...
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...
Tests for the Laplace distribution based on the sample skewness and kurtosis coefficients are shown ...
We consider the little-known one parameter Lindley distribution. This distribution may be of interes...
We consider the little - known one parameter Lindley and Lindley - Poisson distributions. These dist...
Anderson–Darling goodness-of-fit test percentage points are given for the three-parameter lognormal ...
In this paper, a goodness-of-fit test for normality based on the comparison of the theoretical and e...
Abstract In this note two easily applied moment tests of the Rayleigh hypothesis are compared with t...
The chi-square type test statistic is the most commonly used test in terms of mea-suring testing goo...
Tests based on the Anderson-Darling statistic, a third moment statistic and the classical Pearson-Fi...
The gamma distribution is often used to model data with right skewness. Smooth tests of goodness of ...
There is abundant and increasing evidence that the lognormal distribution can account for random var...
Smooth tests of goodness of fit assess the fit of data to a given probability density function withi...
grantor: University of TorontoThe statistical analysis of dichotomous outcome variables is...
Smooth tests for the logarithmic distribution are compared with three tests: the first is a test due...
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...
Tests for the Laplace distribution based on the sample skewness and kurtosis coefficients are shown ...
We consider the little-known one parameter Lindley distribution. This distribution may be of interes...
We consider the little - known one parameter Lindley and Lindley - Poisson distributions. These dist...
Anderson–Darling goodness-of-fit test percentage points are given for the three-parameter lognormal ...
In this paper, a goodness-of-fit test for normality based on the comparison of the theoretical and e...
Abstract In this note two easily applied moment tests of the Rayleigh hypothesis are compared with t...
The chi-square type test statistic is the most commonly used test in terms of mea-suring testing goo...
Tests based on the Anderson-Darling statistic, a third moment statistic and the classical Pearson-Fi...
The gamma distribution is often used to model data with right skewness. Smooth tests of goodness of ...
There is abundant and increasing evidence that the lognormal distribution can account for random var...
Smooth tests of goodness of fit assess the fit of data to a given probability density function withi...
grantor: University of TorontoThe statistical analysis of dichotomous outcome variables is...