In reliability theory, risk analysis, renewal processes and actuarial studies, the residual lifetimes data play an important essential role in studying the conditional tail of the lifetime data. In this paper, Based on some observed ordered residual Weibull data, we introduce different prediction methods for obtaining prediction intervals of future residual lifetimes including likelihood, Wald,...

CONTEXT Although diabetes mellitus is one of the most prevalent and costly chronic diseases in the United States, no estimates have been published of individuals' average lifetime risk of developing diabetes. OBJECTIVE To estimate age-, sex-, and race/ethnicity-specific lifetime risk of diabetes in the cohort born in 2000 in the United States. DESIGN, SETTING, AND PARTICIPANTS Data from the...

BACKGROUND AND PURPOSE Shutter-speed model analysis of dynamic contrast-enhanced MR imaging allows estimation of mean intracellular water molecule lifetime (a measure of cellular energy metabolism) and volume transfer constant (a measure of hemodynamics). The purpose of this study was to investigate the prognostic utility of pretreatment mean intracellular water molecule lifetime and volume tra...

This paper uses the concept of characterized model for bivariate extensions of univariate life distributions based on mean residual life properties. Different bivariate distributions can be generated from different choices of marginal distributions. The retention of univariate IMRL, DMRL, NBUE, NWUE, HNBUE and HNWUE class properties in the bivariate setup has been ensured along with results of ...

The issue of optimizing the limited and often non-renewable energy of sensor nodes due to its direct impact on network lifetime dominates every aspect of wireless sensor networks. Existing techniques for optimizing energy consumption are based on exploiting node redundancy, adaptive radio transmission power and topology control. Topology control protocols have a significant impact on network li...

A new energy aware routing protocol to optimize energy consumption and prolong network lifetime for Wireless Sensor Networks (WSNs) had been proposed in this paper. Cluster based routing techniques like the conventional Low Energy Adaptive Clustering Hierarchy (LEACH) are used to achieve scalable solutions and extend the network lifetime until the last node dies. Improved Energy Efficient LEACH...

Clustering problem is one of the significant issues for wireless sensor networks concerned with energy consumption and large-scale deployment. Several energy-efficient clustering algorithms have been proposed to improve the energy utilization efficiency and prolong the network lifetime. In this paper, we propose a new clustering scheme after a comprehensive analysis on existing protocols. In ou...

Wireless Sensor Network (WSN) is wildly used for a range of applications, one of the most important issues is to improve network lifetime of the sensor node powered by battery. Inspired by Compressive Sensing theory, we proposed an energy-balanced scheme of data gathering denoted by Changeable Probability Compressive Sensing (CPCS). In the proposed approach, we use Compressive Sensing to reduce...

In this paper, we proposed a new generalized family of distribution namely alpha power Exponential (NAPE) based on the transformation (NAPT) method by Elbatal et al. (2019). Various statistical properties are obtained including moment, incomplete conditional probability weighted moments (PWMs), quantile function, residual and reversed lifetime stress-strength parameter, entropy order statistics...

We utilize the important characterization that E(X − t |X > t) is a constant for t ∈ [0,∞) if and only if X is distributed as an exponential random variable, in order to construct a new test procedure for exponentiality. We discuss asymptotic distribution theory and other properties of the proposed procedure. Simulation studies indicate that the proposed statistic has very good power in a large...