نتایج جستجو برای: bayesian model
تعداد نتایج: 2149204 فیلتر نتایج به سال:
background : time to donating blood plays a major role in a regular donor to becoming continues one. the aim of this study was to determine the effective factors on the interval between the blood donations. methods : in a longitudinal study in 2008, 864 samples of first-time donors in shahrekord blood transfusion center, capital city of chaharmahal and bakhtiari province, iran were selected by...
conclusions it was noted that a relatively high prevalence of growth failure was observed in the study sample. for minimizing the impact of significant risk factors on growth failure, the early detection of growth failure and its risk indicators is of great importance. in addition, when the focus of the analysis is on the different nested sources of variability and the data has a hierarchical s...
The interactions among peers in Peer-to-Peer systems as a distributed collaborative system are based on asynchronous and unreliable communications. Trust is an essential and facilitating component in these interactions specially in such uncertain environments. Various attacks are possible due to large-scale nature and openness of these systems that affects the trust. Peers has not enough inform...
The aim of present research is landslide hazard zoning using Bayesian theory in a part of Golestan province. For this purpose, landslides inventory map was created by landslide locations of landslide database (392 landslide locations). Then, the maps of effective parameters in landslide such as slope degree, aspect, altitude, slope curvature, geology, land use, distance of drainage, distance of...
We present further developments in our work on using data from real users to build a probabilistic model of user affect based on Dynamic Bayesian Networks (DBNs) and designed to detect multiple emotions. We present analysis and solutions for inaccuracies identified by a previous evaluation; refining the model’s appraisals of events to reflect more closely those of real users. Our findings lead ...
Background: Diabetes is one of the most common chronic diseases of this century. Retinopathy and makulopati are two most important implications of diabetes. In this study, Bayesian logistic regression is used to assess the factors affected on diabetic- retinopathy. Methods: Study population of this cross-sectional study contains all diabetic patients in Tehran of which 623 of them were selec...
In this paper, the well-known proportional hazards model which includes several well-known lifetime distributions such as exponential,Pareto, Lomax, Burr type XII, and so on is considered. With both Bayesian and non-Bayesian approaches , we consider the estimation of parameters of interest based on progressively Type-II right censored samples. The Bayes estimates are obtained based on symmetric...
The aim of this study was to estimate genetic components and parameters of retained placenta and dystocia traits in FOKA dairy farm. The non-genetic factors affecting these traits were evaluated using logistic regression implemented in GENMOD procedure of SAS 9.1 software. In order to do genetic evaluations, 5 Bayesian threshold models of repeat records and a Bayesian bivariate model were used....
Often in practice the data on the mortality of a living unit correlation is due to the location of the observations in the study. One of the most important issues in the analysis of survival data with spatial dependence, is estimation of the parameters and prediction of the unknown values in known sites based on observations vector. In this paper to analyze this type of survival, Cox...
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