into account the non-normality, because the effect of this non-normality can lead to misinterpretation of the process capability and ill-advised business decisions. A non-normal model is the Rayleigh distribution which is very useful. This paper proposes a...

In this paper, we i ntroduce a new goodness-of-fit test for Rayleigh distribu-tion based on Hellinger distance. In addition, some properties about the proposed test

is presented. Then, new proposed test is compared with other goodness...

measures based on quantile are proposed and then utilizing these divergence measures,
some goodness of fit tests for Rayleigh distribution are constructed.
Monte Carlo simulations are performed for various alternatives and
sample sizes in order...

A test of goodness of fit for Rayleigh distribution via cumulative residual entropy...

his paper addresses the estimation of the parameter of Rayleigh distribution using different methods of frequentist and Bayesian estimation approaches based on different sampling schemes namely, simple random sample, ranked set sample, modified...

In this paper, we define first a new measure of distance between
two distributions based on their cumulative distribution function that is similar
to Tsallis divergence. Then based on a progressively type II right ...

Rayleigh distribution is widely used for life-time modeling and is

important in electro vacuum devices and communication engineering. Rao et

al. (2004) suggested the Cumulative Residual Entropy (CRE), which is the...