In this study, we have discussed various statistical properties for 3-component mixture of Rayleigh distributions. Here initially, the main properties of mixture distributions are presented and analyzed. Second, some of the famous entropies, measures of inequality are also discussed. Also, the statistical properties of the density functions of rth-, 1st- and nth-order statistics are derived. Moreover, the parameters estimation of the considered mixture model under the maximum likelihood (ML) estimation is also performed using censored and complete data scheme. Finally, the results on ML estimation are also computed via Monte Carlo simulation study and as well as by using a real-life data set
Mixture models occur in numerous settings including random and fixed effects models, clustering, dec...
In practice, finite mixture models were often used to fit various type of observed phenomena, specif...
Heterojen yapıda bir popülasyondan elde edilmiş verilerin istatistiksel analizinde oldukça kullanışl...
To study reliability problems, life time and survival analysis, a new mixture model, called the 3-co...
There are several papers which discuss the Bayesian analysis of the mixture models under type I sing...
<div><p>To study lifetimes of certain engineering processes, a lifetime model which can accommodate ...
Matrix-variate distributions represent a natural way for modeling random matrices. Realizations from...
In recent years, the finite mixtures of distributions have been proved to be of considerable attenti...
Recently, the Bayesian analysis of the two-component mixture of lifetime models under singly type I ...
Mixture models are more appealing and appropriate for studying the heterogeneous nature of lifetimes...
<p>Graphs of 3-component mixture of the Rayleigh distributions for different values of parameters.</...
The important role of finite mixture models in the statistical analysis of data is underscored by th...
Finite mixtures of distributions have provided a mathematical-based approach to the statistical mode...
In Chapter 1, a finite mixture distribution is defined and background literature is briefly mentione...
A finite-mixture distribution model is introduced for Bayesian classification in the case of asymmet...
Mixture models occur in numerous settings including random and fixed effects models, clustering, dec...
In practice, finite mixture models were often used to fit various type of observed phenomena, specif...
Heterojen yapıda bir popülasyondan elde edilmiş verilerin istatistiksel analizinde oldukça kullanışl...
To study reliability problems, life time and survival analysis, a new mixture model, called the 3-co...
There are several papers which discuss the Bayesian analysis of the mixture models under type I sing...
<div><p>To study lifetimes of certain engineering processes, a lifetime model which can accommodate ...
Matrix-variate distributions represent a natural way for modeling random matrices. Realizations from...
In recent years, the finite mixtures of distributions have been proved to be of considerable attenti...
Recently, the Bayesian analysis of the two-component mixture of lifetime models under singly type I ...
Mixture models are more appealing and appropriate for studying the heterogeneous nature of lifetimes...
<p>Graphs of 3-component mixture of the Rayleigh distributions for different values of parameters.</...
The important role of finite mixture models in the statistical analysis of data is underscored by th...
Finite mixtures of distributions have provided a mathematical-based approach to the statistical mode...
In Chapter 1, a finite mixture distribution is defined and background literature is briefly mentione...
A finite-mixture distribution model is introduced for Bayesian classification in the case of asymmet...
Mixture models occur in numerous settings including random and fixed effects models, clustering, dec...
In practice, finite mixture models were often used to fit various type of observed phenomena, specif...
Heterojen yapıda bir popülasyondan elde edilmiş verilerin istatistiksel analizinde oldukça kullanışl...