In this study, the stress-strength model 𝑅= 𝑃 (𝑌< 𝑋< 𝑍) is discussed as an important parts of
reliability system by assuming that the random variables follow Invers Rayleigh Distribution …

In this paper, we investigate two stress-strength models (Bounded and Series) in systems
reliability based on Generalized Inverse Rayleigh distribution. To obtain some estimates of …

For the creation of mathematical models, parameter estimation is crucial in many different
domains. Therefore, this paper suggests a new estimation technique related to Meta …

The reliability of the stress-strength model attracted many statisticians for several years
owing to its applicability in different and diverse parts such as engineering, quality control …

The support vector machine, also known as SVM, is a type of supervised learning model that
can be used for classification or regression depending on the datasets. SVM is used to …

This article investigates the parameters estimation and reliability systems of the stress-
strength model, when x and y are independent and follow three parameters Weibull …

Abstract Three parameters Kumaraswamy Uniform distribution has been derived from the
Kumaraswamy family of distribution with uniform distribution, whereis scale parameter …

In this study, the stress-strength model 𝑅= 𝑃 (𝑌< 𝑋< 𝑍) is discussed as an important parts of
reliability system by assuming that the random variables follow Invers Rayleigh Distribution …