In this paper, we propose a weighted Lindley (NWLi) model for the analysis of extreme historical insurance claims. It extends classical distribution by incorporating weight parameter, enabling more flexibility in modeling claim severity. We provide comprehensive theoretical overview new and explore two practical applications. First, investigate mean-of-order P (MOOPP) approach quantifying expected severity based on NWLi model. Second, implement peaks over random threshold (PORT) using...

The weighted flexible Weibull distribution focuses on its unique point of flaunting a bathtub-shaped hazard rate, characterized by an initial increase followed drop over time. This property plays major role in reliability analysis. In this paper, and main properties are examined, the parameters estimated using several estimation methods. addition, simulation study is done for different sample sizes. performance proposed model illustrated through two real-world applications: component failure...

Recently, new continuous distributions have been proposed to apply in statistical analysis. In this paper, the Generalized Odd Gamma-G distribution is introduced. particular, G has considered as Uniform and some properties such quantile function, asymptotics, moments, entropy order statistics calculated.The fitness capability of model investigated by fitting others based on real data sets. The parameters are estimated maximum likelihood estimation method with simulated test validity estimators .

Statistical distributions are very useful in describing and predicting real world phenomena.Consequently, the choice of most suitable statistical distribution for modeling given data is important.In this paper, we propose a new class lifetime called Weibull Topp-Leone Generated (WTLG) family.The proposed family constructed via compounding distributions.It can provide better fits flexible comparison with various known distributions.Several general properties WTLG studied details including...

This paper addresses the problem of Bayesian wavelet estimating mean vector multivariate normal distribution under a prior based on linear and nonlinear exponential balanced loss functions. The covariance matrix is considered known. Bayes estimators parameter are achieved. Then two soft shrinkage threshold Stein’s unbiased risk estimate (SURE) provided. Finally, performance was checked through simulation study Electrical Grid Stability Simulated data set. Simulation real results showed...

The distinct element method (DEM) is used for nonlinear dynamic analysis of a number stone masonry railway bridges. Since the main concern this research estimation seismic capacity bridges, DEM selected to simulate collapse these structures. In respect, three bridges Iran are studied under some important earthquakes. A finite model (FEM) each bridge also defined in SAP2000 and analyzed derive characteristics earthquake records applied transverse direction incremental behavior time with...

Parameter estimation in multivariate analysis is important, particularly when parameter space restricted. Among different methods, the shrinkage of interest. In this article we consider problem estimating p-dimensional mean vector spherically symmetric models. A dominant class Baranchik-type estimators developed that outperforms natural estimator under balance loss function, restricted to lie a non-negative hyperplane. our study, components diagonal covariance matrix are assumed be unknown....

In this paper, the problem of estimating mean vector under non-negative constraints on location multivariate normal distribution is investigated. The value wavelet threshold based Stein's unbiased risk estimators calculated for shrinkage estimator in restricted parameter space. We suppose that covariance matrix unknown and we find dominant class Balance loss function. performance evaluation proposed checked through a simulation study by using average square error values.

Bayesian estimation and credible interval of stress–strength reliability R=P(X<Y) for two-parameter bathtub-shaped lifetime (TPBL) distribution are considered based on simple random sampling (SRS), ranked set (RSS) maximum with unequal samples (MRSSU). Monte Carlo simulations used to compare the performances different proposed methods inferences R. The results simulation show that estimator MRSSU RSS more efficient than SRS. Also, we make a comparison between performance in this paper...

Abstract We propose a wavelet based stochastic regression function estimator for the estimation of sequence mixing process with common one-dimensional probability density function. Some asymptotic properties proposed are investigated. It is found that estimators have similar to their counterparts studied earlier in literature. Keywords: Besov spaceMixing processMultiresolution analysisNonparametric curve estimationRandom designWavelets Acknowledgment Support from Ordered and Spatial Data...

Statistical distributions are very useful in describing and predicting real world phenomena. In many applied areas there is a clear need for the extended forms of well-known distributions. Generally, new more flexible to model data that present high degree skewness kurtosis. The choice best-suited statistical distribution modeling important.In this article, we proposed an generalized Gompertz (EGGo) family EGGo. Certain properties EGGo including shapes, hazard function, skewness, limit...

In this paper, the generalized Bayes estimator of elliptical distribution parameter’s under asymmetric Linex error loss function is considered. The new shrinkage by applying wavelet transformation investigated. We develop admissibility and minimaxity on multivariate normal distribution.We present simulation in order to test validity purpose estimator.

introduced the concept of dual generalized order statistics (dgos) that enables a common approach to descending ordered random variables like reversed and lower record values.In this paper, we have obtained probability density function (pdf) r-th, joint pdf r-th s-th, concomitants dgos from Morgenstern type bivariate exponential distribution derived their product moments.Further results are deduced for moments k-th values statistics.Recurrence relations between also obtained.Finally, some...

Background: the aim of this study was to determine relation between serum and filter paper thyroid-stimulating hormone (TSH) levels in neonates with congenital hypothyroidism (CH). We also tried an appropriate cutoff point TSH for recalling screened neonates. Materials Methods: descriptive-analytic study, records 2283 who had been recalled during CH screening program Isfahan (Iran) were studied. The studied assessed best its sensitivity specificity proper diagnosis determined. Results: among...

In many applied areas there is a clear need for extended forms of the well-known distributions. Generally, new distributions are flexible to model real data that present high degree skewness and kurtosis. Each them solve particular part classical distribution problems. this paper, Extended Exp-G family going be introduced. particular, G has been considered as normal also Weibull distribution. some statistical properties such moments, Maximum likelihood estimator regression have calculated....

The methods of estimation nonparametric regression function are quite common in statistical application. In this paper, the new Bayesian wavelet thresholding is considered. mixture prior distributions for by applying transformation investigated. reversible jump algorithm to obtain appropriate and value used. performance proposed estimator assessed with simulated data from well-known test functions comparing convergence rate respect another evaluating average mean square error standard...

Salehi and Ahmadi (2014) introduced a new sampling scheme for generating record-breaking data called record ranked set sampling. In this paper, we consider the uncertainty information content of samples (RRSS) in terms Shannon entropy, Rényi Kullback-Leibler (KL) measures. We show that difference between entropy RRSS simple random (SRS) is depends on parent distribution F. also compare with SRS uniform, exponential, Weibull, Pareto, gamma distributions. obtain similar results under...