In this study, a discrete inverted Topp-Leone (DITL) distribution is proposed by utilizing the survival discretization approach. The distribution's mathematical features were derived. maximum likelihood (ML), method of least squares (LS), weighted (WLS), and Cramer Von-Mises (CVM) estimation techniques used to estimate parameter. theoretical results ML, LS, WLS, CVM estimators demonstrated via ...

the aim of this study was to determine the effect of trenched zirconia bar on the von mises stress distribution of ips -empress ii core ceramics.the three-dimensional model including a three-unit bridge from the second premolar to the second molar was designed. the model was reinforced with zirconia bar (zb), zirconia bar with vertical trench (vzb) and zirconia bar with horizontal trench (hzb) ...

In this article, we have introduced a new probability distribution called Modified Exponentiated Inverted Exponential (MEIE) Distribution. The model is right tailed increasing- decreasing hazard rate function. We discussed some statistical properties like density function, cumulative survival function and etc. Model parameters are estimated via Maximum Likelihood, Least Squares, Cramer-Von Mise...

In this article, a new distribution having three called Modified Generalized Exponential Distribution is proposed. Important statistical properties of the proposed model like survival function, hazard rate probability density function (PDF), cumulative (CDF), quantile skewness, and kurtosis are discussed here. Least Square Estimation (LSE), Cramer- Von Mises (CVM) Maximum Likelihood estimators ...

A novel flexible extension of the Chen distribution is defined and studied in this paper. Relevant statistical properties model are derived. For actuarial risk analysis evaluation, maximum likelihood, weighted least squares, ordinary Cramer–von Mises, moments, Anderson–Darling methods utilized. purposes, a comprehensive simulation study presented using various combinations to evaluate performan...

Higher-precision inferences about impending software failures can be achieved when the same software reliability model that fits failure data from the test interval also fits data from the field interval. If the test and field environments differ significantly in terms of how the software is used, then a single model for the pooled data may not be adequate. In this article we formulate the hypo...

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