This paper aims to model the COVID-19 mortality rates in Italy, Mexico, and Netherlands, by specifying an optimal statistical analyze rate of COVID-19. A new lifetime distribution with three-parameter is introduced a combination Rayleigh extended odd Weibull family produce (EOWR) distribution. has many excellent properties as simple linear representation, hazard function, moment generating function. Maximum likelihood, maximum product spacing Bayesian estimation methods are applied estimate...

Modifying the existing probability models in literature and introducing new extensions of is a prominent interesting research topic. However, most recent era, via trigonometry methods have received great attention. This paper also offers novel trigonometric version Weibull model called alpha power cosine-Weibull (for short, “NACos-Weibull”) distribution. The NACos-Weibull distribution introduced by incorporating cosine function. Certain distributional properties are derived. estimators...

Sampling survey data can sometimes contain outlier observations. When the mean estimator becomes skewed due to presence of extreme values in sample, results be biased. The tendency remove outliers from sample is common. However, performing such removal reduce accuracy conventional estimating techniques, particularly with regard square error (MSE). In order increase population estimation while taking into consideration, this study presents an enhanced class estimators. method uses auxiliary...

Two-phase sampling is a useful technique for sample surveys, particularly when prior auxiliary data not accessible. The ranks of the variable often coincide with those research two variables are correlated. By considering this relationship, we can significantly increase estimator accuracy. In paper, use along extreme values to estimate population mean study variable. Up first-order approximation, analyze characteristics suggested class estimators an emphasis on biases and squared errors in...

This paper is concerned with estimating the parameters of modified Kies exponential (MKEx) distribution using classical estimation method, based on ranked set sampling (RSS), Likelihood method used for MKEx parameters. The maximum likelihood estimators (MLEs) are then investigated and compared to corresponding ones simple random (SRS) RSS designs. A Monte Carlo simulation obtain absolute relative biases, mean square errors distribution. Efficiencies different efficiency design was found...

Natural computing refers to computational processes observed in nature and human-designed inspired by nature. In recent times, data fusion the healthcare sector becomes a challenging issue, it needs be resolved. At same time, intracerebral haemorrhage (ICH) is injury of blood vessels on brain cells, which mainly liable for stroke. X-rays computed tomography (CT) scans are widely applied locating position size. Since manual segmentation CT planimetry use radiologists time-consuming process,...

<abstract> <p>In this article, a new two-parameter discrete power-Ailamujia (DsPA) distribution is derived using the survival discretization technique. Some key distributional properties and reliability measures are explored in closed forms, such as probability generating function, first four moments mean residual life. The DsPA parameters estimated maximum likelihood approach. performance of estimation method assessed via simulation study. flexibility shown three count datasets....

A fully parametric accelerated failure time (AFT) model with a flexible, novel modified exponential Weibull baseline distribution called the extended (ExEW-AFT) is proposed. The presented using multi-parameter survival regression model, where more than one distributional parameter linked to covariates. formulation, probabilistic functions, and some of its sub-models were derived. parameters introduced are estimated maximum likelihood approach. An extensive simulation study used assess...

For the first time and by using an entire sample, we discussed estimation of unknown parameters

This article introduces a two-parameter flexible extension of the Burr-Hatke distribution using inverse-power transformation. The failure rate new can be an increasing shape, decreasing or upside-down bathtub shape. Some its mathematical properties are calculated. Ten estimation methods, including classical and Bayesian techniques, discussed to estimate model parameters. Bayes estimators for unknown parameters, based on squared error, general entropy, linear exponential loss functions,...

Much effort has recently been expended in developing efficient models that can depict the true picture for COVID-19 mortality data and help scientists choose best-fit models. As a result, this research intends to provide new G family both theoretical practical solves concerns typically encountered normal non-normal random events. The new-G distribution is able generate continuous univariate skewed may outperform baseline model. analytic properties of its sub-model are investigated described,...

Abstract The paper presents a novel statistical approach for analyzing the daily coronavirus case and fatality statistics. survival discretization method was used to generate two-parameter discrete distribution. resulting distribution is referred as "Discrete Marshall–Olkin Length Biased Exponential (DMOLBE) distribution". Because of varied forms its probability mass failure rate functions, DMOLBE adaptable. We calculated mean variance, skewness, kurtosis, dispersion index, hazard second...

We propose a new two-parameter discrete model, called Type-II half-logistics exponential (DTIIHLE) distribution using the survival discretization approach. The DTIIHLE can be utilized to model COVID-19 data. parameters are estimated maximum likelihood method. A simulation study is conducted evaluate performance of estimators. usefulness proposed evaluated two real-life data sets. provides superior fit as compared with competitive models including discrete-Pareto, Burr-XII, log-logistic,...

A new one-parameter discrete length-biased exponential distribution called the moment (DMEx) is introduced using survival discretizing approach. We derive reliability measures including function, hazard residual and second rate of failure function. Further, mathematical properties DMEx are derived. The parameters estimated seven estimation methods. simulation study carried out to explore behavior proposed estimators. It observed that maximum likelihood approach provides efficient estimates....

Industries are constantly seeking ways to avoid corrective maintenance in order reduce costs. Performing regular scheduled can help mitigate this problem, but not necessarily the most efficient way. In many real life applications, one wants predict future failure time of equipment or devices that expensive, with long lifetimes, save costs and/or time. paper, statistical prediction was studied using classical and Bayesian approaches based on a unified hybrid censoring scheme. Two schemes were...

In this paper, we develop statistical inference of competing risks samples which are collected under a joint Type-II censoring scheme products with Weibull lifetime distributions. These inferences drawn from two independent fatal and come different lines production the same facility. The model parameters life (reliability hazard rate functions) estimated using maximum likelihood (ML), bootstrap Bayes methods. Additionally, constructed asymptotic ML confidence intervals, intervals credible...

In reliability engineering and lifetime analysis, many units of the product fail with different causes failure, some tests require stress higher than normal stress. Also, we need to design life experiments which present methodology for formulating scientific problems using statistical models. So, in this paper, adopted a partially constant accelerated test model times failure small period time Gompertz products. considering that, are failing only two independent tested under type‐I...