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 log-arithmic. These traditional chi-squared tests are the only logarithmic tests of fit commonly applied by ecologists and other scientists. Copyright q 2008 D. J. Best et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, prov...
In this paper, a goodness-of-fit test for normality based on the comparison of the theoretical and e...
Tests for the Laplace distribution based on the sample skewness and kurtosis coefficients are shown ...
In this paper, a goodness-of-fit test for normality based on the comparison of the theoretical and e...
Smooth tests for the logarithmic distribution are compared with three tests: the first is a test due...
There is abundant and increasing evidence that the lognormal distribution can account for random var...
There is abundant and increasing evidence that the lognormal distribution can account for random var...
We describe a class of statistical tests for the comparison of two or more survival curves, typicall...
The skew-Laplace distribution is frequently used to fit the logarithm of particle sizes and it is al...
The chi-square type test statistic is the most commonly used test in terms of mea-suring testing goo...
The purpose of a one-sample test of fit is to give an objective measure of how well a probability mo...
Anderson–Darling goodness-of-fit test percentage points are given for the three-parameter lognormal ...
Anderson–Darling goodness-of-fit test percentage points are given for the three-parameter lognormal ...
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...
The skew-Laplace distribution is frequently used to fit the logarithm of particle sizes and it is al...
In this paper, a goodness-of-fit test for normality based on the comparison of the theoretical and e...
Tests for the Laplace distribution based on the sample skewness and kurtosis coefficients are shown ...
In this paper, a goodness-of-fit test for normality based on the comparison of the theoretical and e...
Smooth tests for the logarithmic distribution are compared with three tests: the first is a test due...
There is abundant and increasing evidence that the lognormal distribution can account for random var...
There is abundant and increasing evidence that the lognormal distribution can account for random var...
We describe a class of statistical tests for the comparison of two or more survival curves, typicall...
The skew-Laplace distribution is frequently used to fit the logarithm of particle sizes and it is al...
The chi-square type test statistic is the most commonly used test in terms of mea-suring testing goo...
The purpose of a one-sample test of fit is to give an objective measure of how well a probability mo...
Anderson–Darling goodness-of-fit test percentage points are given for the three-parameter lognormal ...
Anderson–Darling goodness-of-fit test percentage points are given for the three-parameter lognormal ...
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...
The skew-Laplace distribution is frequently used to fit the logarithm of particle sizes and it is al...
In this paper, a goodness-of-fit test for normality based on the comparison of the theoretical and e...
Tests for the Laplace distribution based on the sample skewness and kurtosis coefficients are shown ...
In this paper, a goodness-of-fit test for normality based on the comparison of the theoretical and e...