6 papers
A Model for Bimodal Rates and Proportions
Roberto Vila, Lucas Alfaia, André F. B. Menezes +2
The beta model is the most important distribution for fitting data with the unit interval. However, the beta distribution is not suitable to model bimodal unit interval data. In th…
Maximum Likelihood Estimation for Parameters of Weibull Distribution and Properties: Monte Carlo Simulation
Mehmet Niyazi Çankaya, Roberto Vila
The maximum likelihood estimation method is a generalization of the known maximum likelihood method to overcome the problem for modeling non-identical observation…
Least informative distributions in Maximum q-log-likelihood estimation
Mehmet Niyazi Cankaya, Jan Korbel
We use the Maximum -log-likelihood estimation for Least informative distributions (LID) in order to estimate the parameters in probability density functions (PDFs) efficiently a…
On the Robustness and Asymptotic Properties for Maximum Likelihood Estimators of Parameters in Exponential Power and its Scale Mixture Form Distributions
Mehmet Niyazi Cankaya, Olcay Arslan
The normality assumption on data set is very restrictive approach for modelling. The generalized form of normal distribution, named as an exponential power (EP) distribution, and i…
M-Estimation Method Based Asymmetric Objective Function
Mehmet Niyazi Cankaya, Olcay Arslan
The asymmetric objective function is proposed as an alternative to Huber objective function to model skewness and obtain robust estimators for the location, scale and skewness para…
On Statistical Properties of Jizba-Arimitsu Hybrid Entropy
Mehmet Niyazi Çankaya, Jan Korbel
Jizba-Arimitsu entropy (also called hybrid entropy) combines axiomatics of Rényi and Tsallis entropy. It has many common properties with them, on the other hand, some aspects as e.…