Some Aspects of Multivariate Rayleigh and Exponential Distributions

Providing of some family of continuous distributions to fit the best distribution on drought data of Guilan state and investigation of duration of the drought on this stat

In this paper, after stating the characteristicof some of continuous distributions including, gamma, Crovelli’s gamma, Rayleigh, Weibull, Pareto, exponential and generalized gamma distribution with each other,these distributions were fit on drought data of Guilan state and the best distribution was presented. Then, severity and duration of the drought of different sites were investigated usi...

Some New Characterization Results on Exponential and Related Distributions

Statistical Modeling for Oblique Collision of Nano and Micro Droplets in Plasma Spray Processes

  Spreading and coating of nano and micro droplets on solid surfaces is important in a wide variety of applications including plasma spray coating, ink jet printing, DNA synthesis and etc. In spraying processes, most of droplets collide obliquely to the surface. The purpose of this article is to study the distribution of nano and micro droplets spreading when droplets impact at an oblique a...

Comparsion Between Several Distributions of Exponential Family and Offering Their Features and Applications

‎In this paper‎, ‎first‎, ‎we investigate probability density function and the failure rate function of some families of exponential distributions‎. ‎Then we present their features such as expectation‎, ‎variance‎, ‎moments and maximum likelihood estimation and we identify the most flexible distributions according to the figure of probability density function and the failure rate function and f...

Copulas for statistical signal processing (Part I): Extensions and generalization

Existing works on multivariate distributions mainly focus on limited distribution functions and require that the associated marginal distributions belong to the same family. Although this simplifies problems, it may fail to deal with practical cases when the marginal distributions are arbitrary. To this end, copula function is employed since it provides a flexible way in decoupling the marginal...