Add to ORKGThe maximum entropy characterization of the von Mises distribution on the circle is exploited to derive a consistent goodness of fit test for the von Mises distribution. Monte Carlo simulation results are tabulated giving critical values of the test statistic for various sample sizes and values of the concentration parameter. A power analysis is presented for various alternative hypotheses, comparing this entropy statistic to two other competing goodness of fit statistics. The entropy statistic is shown to compare favorably and may be more attractive, especially considering its ease of computation
International audienceWe consider fitting uncategorical data to a parametric family of distributions...
An innovative way of calculating the von Mises distribution (VMD) of im-age entropy is introduced in...
The exponential distribution is commonly used to model andexamine lifetime data. When applying the e...
To test whether a set of data has a specific distribution or not, we can use the goodness of fit te...
For Type-II censored sample, we propose three modified entropy estimators based on the Vasieck'...
The likelihood approach based on the empirical distribution functions is a well-accepted statistical...
The proof of consistency for the kth nearest neighbour distance estimator of the Shannon entropy fo...
Entropy has a very important role in Statistics. In recent studies it can be seen that entropy start...
The paper studies four entropy tests of normality of real valued observations using four statistics ...
Entropy is one of the most basic and significant descriptors of a probability distribution. It is st...
Abstract We introduce some new classes of unimodal rotational invariant directional distributions, ...
International audienceThis paper mainly aims at unifying as a unique goodness-of-fit procedure the t...
In this paper, a goodness-of-fit test for normality based on the comparison of the theoretical and e...
In many practical situations, we have only partial information about the probabilities. In some case...
North-West University, Potchefstroom CampusMSc (Mathematical Statistics), North-West University, Pot...
International audienceWe consider fitting uncategorical data to a parametric family of distributions...
An innovative way of calculating the von Mises distribution (VMD) of im-age entropy is introduced in...
The exponential distribution is commonly used to model andexamine lifetime data. When applying the e...
To test whether a set of data has a specific distribution or not, we can use the goodness of fit te...
For Type-II censored sample, we propose three modified entropy estimators based on the Vasieck'...
The likelihood approach based on the empirical distribution functions is a well-accepted statistical...
The proof of consistency for the kth nearest neighbour distance estimator of the Shannon entropy fo...
Entropy has a very important role in Statistics. In recent studies it can be seen that entropy start...
The paper studies four entropy tests of normality of real valued observations using four statistics ...
Entropy is one of the most basic and significant descriptors of a probability distribution. It is st...
Abstract We introduce some new classes of unimodal rotational invariant directional distributions, ...
International audienceThis paper mainly aims at unifying as a unique goodness-of-fit procedure the t...
In this paper, a goodness-of-fit test for normality based on the comparison of the theoretical and e...
In many practical situations, we have only partial information about the probabilities. In some case...
North-West University, Potchefstroom CampusMSc (Mathematical Statistics), North-West University, Pot...
International audienceWe consider fitting uncategorical data to a parametric family of distributions...
An innovative way of calculating the von Mises distribution (VMD) of im-age entropy is introduced in...
The exponential distribution is commonly used to model andexamine lifetime data. When applying the e...