The long-term event-free survival (EFS) after acute myocardial infarction (AMI) is largely uninvestigated. We analyzed noninvasive clinical variables in association with long-term EFS after AMI. The present prospective study included 504 consecutive patients with AMI at 3 hospitals from 1995 to 1998 (Adria, Bassano, Conegliano, and Padova Hospitals [ABC] study). Thirty-seven variables were exam...

‎Independent random‎ ‎variables $Y_{1},ldots‎ ,‎Y_{n}$ belongs to the‎ ‎proportional reversed hazard rate (PRHR) model with‎ ‎proportionality parameters $lambda_1,...,lambda_n$‎, ‎if‎ ‎$Y_{k}sim G^{lambda _{k}}(x)$‎, ‎for $k=1,...,n$‎, ‎where $G$ is an‎ ‎absolutely continuous distribution function‎. ‎In this paper we compare‎ ‎the smallest order‎ ‎statistics‎, ‎the sample ranges and th...

In this article, we have introduced the new distribution named exponentiated inverse power Cauchy distribution, which presents more flexibility in modeling a real lifetime dataset. The proposed is analytically appealing and easy to work with can be used efficiently analyze data sets. Its probability density function include various shapes according value of parameters. Different explicit expres...

The incidence of heatstroke has been increasing in Japan, and future climate change is likely to increase heatstroke risk. We therefore developed a method to quantify the spatial distribution of outdoor heatstroke risk and predicted future changes in this risk considering the predicted climate change in Sendai, Japan. Heatstroke risk was quantified by assessing hazard, vulnerability and exposur...

Nonparametric inference on the hazard rate is an alternative to density estimation for positive variables which naturally deals with right censored observations. It is a classic topic of survival analysis which is here shown to be of interest in the applied context of seismic hazard assessment. This paper puts forth a new Bayesian approach to hazard rate estimation, based on building the prior ...

Abstract In probability and statistics, unit distributions are used to model proportions, rates, percentages, among other things. This paper is about a new one-parameter distribution, whose density function defined by an original ratio of power logarithmic functions. has wide range J shapes, some which more angular than others. this sense, the proposed distribution can be thought as “extremely ...

Peak ground acceleration is the maximum shaking intensity parameter in geophysics. To prevent big loss of infrastructure, dam site or multistorey buildings as well power project due to any seismic hazard, it essential mitigate damages. Seismic hazard analysis for peak was carried out hydropower Gilgit Baltistan effect hazard. Seismicity and tectonic map drawn distribution events.Study region di...

This research aims to develop data-driven methods that automatically exploit historical data in smart distribution grids for reliability evaluation, i.e., analyzing frequency of failures, and modeling components’ lifetime. The results enable power distribution companies to change from reactive maintenance to predictive maintenance by deriving benefits from historical data. In particular, the da...