This paper develops a Bayesian analysis in the context of record statistics values from the two-parameter Weibull distribution. The ML and the Bayes estimates based on record values are derived for the two unknown parameters and some survival time parameters e.g. reliability and hazard functions. The Bayes estimates are obtained based on a conjugate prior for the scale parameter and a discrete ...

The Truncated Cauchy Power Weibull-G class is presented as a new family of distributions. Unique models for this are in paper. statistical aspects the explored, including expansion density function, moments, incomplete moments (IMOs), residual life and reversed functions, entropy. maximum likelihood (ML) Bayesian estimations developed based on Type-II censored sample. properties Bayes estimator...

Survival data is being analysed here under the middle censoring scheme, using specifically quantile function modelling competing risks. The use of scheme has been shown to be very appropriate COVID-19 pandemic scenario. Cause-specific inference employed. Such inferences are obtained through cumulative incidence based on cause-specific proportional hazards model. baseline lifetime assumed follow...

The ranked set sampling (RSS) is an effective scheme popularly used to produce more precisely estimators. Despite its popularity, RSS suffers from some drawbacks which includes high sensitivity outliers and it cannot sometimes be applicable when the population relatively small. To overcome these limitations, varied L (VLRSS) recently introduced. It shown that VLRSS enjoys with many interesting ...

Environmental data are spatial, temporal, and often come with many zeros. In this paper, we included space–time random effects in zero-inflated Poisson (ZIP) and ‘hurdle’ models to investigate haulout patterns of harbor seals on glacial ice. The data consisted of counts, for 18 dates on a lattice grid of samples, of harbor seals hauled out on glacial ice in Disenchantment Bay, near Yakutat, Ala...

Point and interval estimations are taken into account for a progressive first-failure censored left-truncated normal distribution in this paper. First, we derive the estimators parameters on of maximum likelihood principle. Subsequently, construct asymptotic confidence intervals based these estimates log-transformed using normality estimators. Meanwhile, bootstrap methods also proposed construc...

In this paper, we derived a sub-model of Zubair-G familiy distribution named Zubair-Exponential with two parameters. Simulation the Estimates parameters based on some classical methods are obtained. The likelihood equations and maximum estimator as well asymptotic confidence interval derived. Bayes estimates associated greatest posterior density credible using squared error Loss (SEL), Linear-E...