M ay 2 00 8 On the elicitation of continuous , symmetric , unimodal distributions

On a New Bimodal Normal Family

The unimodal distributions are frequently used in the theorical statistical studies. But in applied statistics, there are many situations in which the unimodal distributions can not be fitted to the data. For example, the distribution of the data outside the control zone in quality control or outlier observations in linear models and time series may require to be a bimodal. These situations, oc...

On discrete a-unimodal and a-monotone distributions

Unimodality is one of the building structures of distributions that like skewness, kurtosis and symmetry is visible in the shape of a function. Comparing two different distributions, can be a very difficult task. But if both the distributions are of the same types, for example both are unimodal, for comparison we may just compare the modes, dispersions and skewness. So, the concept of unimodali...

2 8 M ay 2 00 7 Remarks on the existence of bilaterally symmetric

] 3 M ay 2 00 8 SYMMETRIC ( q , α ) - STABLE DISTRIBUTIONS . PART I : FIRST REPRESENTATION

The classic central limit theorem and α-stable distributions play a key role in probability theory, and also in Boltzmann-Gibbs (BG) statistical mechanics. They both concern the paradigmatic case of probabilistic independence of the random variables that are being summed. A generalization of the BG theory, usually referred to as nonextensive statistical mechanics and characterized by the index ...

Using Weighted Distributions for Modeling‎ Skewed‎, ‎Multimodal and Truncated Data‎

When the observations reflect a multimodal‎, ‎asymmetric or truncated construction or a combination of them‎, ‎using usual unimodal and symmetric distributions leads to misleading results‎. ‎Therefore‎, ‎distributions with ability of modeling skewness‎, ‎multimodality and truncation have been in the core of interest in statistical literature‎, ‎always‎. ‎There are different methods to contract ...