Variance estimation and ranking methods are developed for stochastic processes modeled by Gaussian mixture distributions. It is shown that the variance estimate from a Gaussian mixture distribution has the same properties as a variance estimate from a single Gaussian distribution based on a reduced number of samples. Hence, well known tools of variance estimation and ranking of single Gaussian ...

We consider N independent stochastic processes (Xj(t), t ∈ [0, T ]), j = 1, . . . , N , defined by a one-dimensional stochastic differential equation with coefficients depending on a random variable φj and study the nonparametric estimation of the density of the random effect φj in two kinds of mixed models. A multiplicative random effect and an additive random effect are successively considere...

We investigate the competing effects and relative importance of intrinsic demographic and environmental variability on the evolutionary dynamics of a stochastic two-species Lotka-Volterra model by means of Monte Carlo simulations on a two-dimensional lattice. Individuals are assigned inheritable predation efficiencies; quenched randomness in the spatially varying reaction rates serves as enviro...

In this paper, first we identify the destruction ways of concrete constructions and the benefits of waste management and the plans to recycle the concrete debris were investigated and it was concluded that the existence of plans to recycle the concrete debris could lead to big economic save ups and by recycling these debris we can create affordable ways for concrete making centers. By the way, ...

In some environmental epidemiology studies, the locations of exposure data and health assessments do not coincide. To overcome the misalignment problem, the health effects analysis often use the predictions from an exposure model, which contains some measurement error as predicted value but is unequal with the true exposures. Gryparis et al. (2009) focus on the framework for spatial measurement...