in this article,we present a wavelet method for solving stochastic volterra integral equations based on haar wavelets. first, we approximate all functions involved in the problem by haar wavelets then, by substituting the obtained approximations in the problem, using the it^{o} integral formula and collocation points then, the main problem changes into a system of linear or nonlinear equation w...

we focus on the use of two stable and accurate explicit finite difference schemes in order to approximate the solution of stochastic partial differential equations of it¨o type, in particular, parabolic equations. the main properties of these deterministic difference methods, i.e., convergence, consistency, and stability, are separately developed for the stochastic cases.

drought is random and nonlinear phenomenon and using linear stochastic models, nonlinear artificial neural network and hybrid models is advantaged for drought forecasting. this paper presents the performances of autoregressive integrated moving average (arima), direct multi-step neural network (dmsnn), recursive multi-step neural network (rmsnn), hybrid stochastic neural network of directive ap...

Performance evaluation of electricity distribution units is an important issue between researchers and regulators. Classic Data Envelopment Analysis models with deterministic data have been used by many authors to measure efficiency of power distribution units in different countries. However, Data Envelopment Analysis with stochastic data are rarely used to measure efficiency of distribution co...

background: perinatal mortality rate is an important indicator of community health status. this study aimed to evaluate perinatal mortality and its determinants in mobini hospital of sabzevar, iran. methods: this descriptive, cross-sectional study was performed within a two-year (2011-2012) period at mobini hospital of sabzevar. our study population included all the cases of stillbirth and live...

We illustrate how multistate Markov and semi-Markov models can be used for the actuarial modeling of health insurance policies, focussing on health insurances that are pursued on a similar technical basis to that of life insurance. On the basis of the general modeling framework of Helwich (2008), we study examples of permanent health insurance, critical illness insurance, long term care insuran...

We model the effects of both stochastic and deterministic temperature variations on arthropod predator-prey systems. Specifically, we study the stochastic dynamics of arthropod predator-prey interactions under a vary ing temperature regime, and we develop an individual model of a prey under pressure from a predator, with vigilance (or foraging effort), search rates, at tack rates, and other pre...

Abstract The rise in longevity the twentieth century has led to a growing interest modeling mortality, and new advanced techniques such as machine learning have recently joined more traditional models, Lee–Carter or Age Period Cohort. However, performances of these terms fitting observed data, are difficult compare unified framework. goodness-of-fit measures summarizing discrepancy between esti...