Modelling is challenging topic and using parametric models is important stage to reach
flexible function for modelling. Weibull distribution has shape and scale parameters which …

The modality is an important topic for modelling. Using parametric models is an efficient way
when real data set shows trimodality. In this paper, we propose a new class of trimodal …

In this article, Burr III distribution is proposed with a significantly improved functional form.
This new modification has enhanced the flexibility of the classical distribution with the ability …

The aim of this study is to forecast the amount of tax complaints filed with the Turkish
Ombudsman in the future and whether or not policymakers require a specific tax …

The continuous iteration of an exponential-type function allows to describe a whole range of
growths between logarithmical and exponential. This principle has been applied to a class …

Model selection is basically a process of finding the best model from the subset of models in
which the explanatory variables are effective on the response variable. The log likelihood …

The usefulness of heavy-tailed distributions for modeling insurance loss data is arguably an
important subject for actuaries. Appropriate use of trigonometric functions allows a good …

The maximum log q likelihood estimation method is a generalization of the known maximum
log likelihood method to overcome the problem for modeling non-identical observations …

M-estimation as generalization of maximum likelihood estimation (MLE) method is well-
known approach to get the robust estimations of location and scale parameters in objective …

Günümüzde araştırmacıların istatistiksel analizleri yaparken en çok karşılaştıkları
problemlerin başında lisanslı programların temin edilmesi yer almaktadır. Ücretsiz …