نتایج جستجو برای: solgel processes
تعداد نتایج: 528399 فیلتر نتایج به سال:
background: type 2 diabetes is an important risk factor for cognitive decline in diabetic patients. the main goal of this study was the assessment of memory, attention and visuospatial ability dysfunctions in patients with type 2 diabetes in comparison to pre-diabetic patients and normal subjects in endocrine and metabolism center of isfahan city from april 2011 to july 2011. methods: the sampl...
simple harmonizable processes (shp) introduced by soltani and parvardeh (2006) are a large class of nonstationary processes which includes stationary and periodically correlated (pc) processes. detection and estimation of shp structure are important problems when dealing with nonstationary data. in this paper, we study the spectral properties of simple processes and propose a method to detect a...
in this research, both resource allocation and reactive resource allocation problems in multi-server dynamic pert networks are analytically modeled, where new projects are expected to arrive according to a poisson process, and activity durations are also known as independent random variables with exponential distributions. such system is represented as a queuing network, where multi servers at ...
semilinear stochastic evolution equations with multiplicative l'evy noise are considered. the drift term is assumed to be monotone nonlinear and with linear growth. unlike other similar works, we do not impose coercivity conditions on coefficients. we establish the continuous dependence of the mild solution with respect to initial conditions and also on coefficients. as corollaries of ...
in this work we introduce and study discrete time periodically correlated stable processes and multivariate stationary stable processes related to periodic and cyclic flows. our study involves producing a spectral representation and a spectral identification for such processes. we show that the third component of a periodically correlated stable process has a component related to a...
The sample autocorrelation function (acf) of a stationary process has played a central statistical role in traditional time series analysis, where the assumption is made that the marginal distribution has a second moment. Now, the classical methods based on acf are not applicable in heavy tailed modeling. Using the codifference function as dependence measure for such processes be shown it be as...
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