نتایج جستجو برای: Bayesian Model

تعداد نتایج: 2149204  

Journal: :medical journal of islamic republic of iran 0
maryam mohammadian-khoshnoud department of biostatistics, school of public health, hamadan university of medical sciences, hamadan, iran.سازمان اصلی تایید شده: دانشگاه علوم پزشکی همدان (hamadan university of medical sciences) abbas moghimbeigi department of biostatistics, school of public health, modeling of noncommunicable disease research canter, hamadan university of medical sciences, hamadan, iran.سازمان اصلی تایید شده: دانشگاه علوم پزشکی همدان (hamadan university of medical sciences) javad faradmal department of biostatistics, school of public health, modeling of noncommunicable disease research canter, hamadan university of medical sciences, hamadan, iran.سازمان اصلی تایید شده: دانشگاه علوم پزشکی همدان (hamadan university of medical sciences) mahnaz yavangi department of gynecology, hamadan university of medical sciences, hamadan, iran.سازمان اصلی تایید شده: دانشگاه علوم پزشکی همدان (hamadan university of medical sciences)

background: birth weight and gestational age are two important variables in obstetric research. the primary measure of gestational age is based on a mother's recall of her last menstrual period. this recall may cause random or systematic errors. therefore, the objective of this study is to utilize bayesian mixture model in order to identify implausible gestational age.   methods: in this cross-...

Journal: :iranian journal of public health 0
maryam farhadian dept. of biostatistics and epidemiology, school of public health, hamadan university of medical science, hamadan, iran. abbas moghimbeigi mohsen aliabadi

one of the methods used in the analysis of data related to diseases, and their underlying reasons is drawing geographical map. mapping diseases is a valuable tool to determine the regions of high rate of infliction requiring therapeutic interventions. the objective of this study was to investigate obesity pattern in iran by drawing geographical maps based on bayesian spatial model to recognize ...

Journal: :desert 2013
k. nosrati h. ahmadi f. sharifi m. mahdavi m.r. sarvati

uncertainty associated with mixing models is often substantial, but has not yet been fully incorporated in models. the objective of this study is to develop and apply a bayesian-mixing model that estimates probability distributions of source contributions to a mixture associated with multiple sources for assessing the uncertainty estimation in sediment fingerprinting in zidasht catchment, iran....

Journal: :علوم دامی ایران 0
فاطمه حسینی استادیار، گروه آمار، دانشکدة ریاضی، آمار و علوم کامپیوتر، دانشگاه سمنان، ایران امید کریمی استادیار، گروه آمار، دانشکدة ریاضی، آمار و علوم کامپیوتر، دانشگاه سمنان، ایران نیلوفر جواهری دانشجوی سابق کارشناسی ارشد، گروه آمار، دانشکدة ریاضی، آمار و علوم کامپیوتر، دانشگاه سمنان، ایران

animal models are used to model the observations of animal performance that are genetically dependent.these models are considered as generalized linear mixed models and the genetic correlation structure of data is considered through random effects of breeding values. one goal of the mentioned models is to estimate variance components. in this research, an approximate bayesian approach presented...

Journal: :desert 0
k. nosrati assistant professor, shahid beheshti university, tehran, iran h. ahmadi professor, science and research branch, islamic azad university, tehran, iran f. sharifi associate professor, forest, range and watershed management organization, tehran, iran m. mahdavi emeritus professor, university of tehran, karaj, iran m.r. sarvati associate professor, shahid beheshti university, tehran, iran

uncertainty associated with mixing models is often substantial, but has not yet been fully incorporated in models. the objective of this study is to develop and apply a bayesian-mixing model that estimates probability distributions of source contributions to a mixture associated with multiple sources for assessing the uncertainty estimation in sediment fingerprinting in zidasht catchment, iran....

Journal: :مهندسی برق و الکترونیک ایران 0
ali mohammad-djafari

in this paper, first a great number of inverse problems which arise in instrumentation, in computer imaging systems and in computer vision are presented. then a common general forward modeling for them is given and the corresponding inversion problem is presented. then, after showing the inadequacy of the classical analytical and least square methods for these ill posed inverse problems, a baye...

Journal: :iranian journal of psychiatry 0
maryam rahmati department of biostatistics, university of social welfare and rehabilitation sciences, tehran, iran mehdi rahgozar department of biostatistics, university of social welfare and rehabilitation sciences, tehran, iran farbod fadaei department of psychiatry, university of social welfare and rehabilitation sciences, tehran, iran enayatollah bakhshi department of biostatistics, university of social welfare and rehabilitation sciences, tehran, iran leila cheraghi department of biostatistics, university of social welfare and rehabilitation sciences, tehran, iran

objectives : schizophrenia patients often experience relapses once and even more with no limit on number of relapses. the time among relapses are rarely considered in studies. the aim of this study was to identify some risk factors of time to elapses in schizophrenic patients with recurrent events model in survival analysis. methods : in a retrospective longitudinal study, the medical records o...

Journal: :journal of advances in computer research 0
behzad nakhkob student of department of computer science, south tehran branch, islamic azad university, tehran, iran maryam khademi assistant professor department of applied mathematics, south tehran branch, islamic azad university, tehran, iran

advanced data mining techniques can be used in universities classification, discovering specific patterns in the determination of successful students, design of a plan or a teaching method and finding critical points of financial management. in this article, we proposed a method to predict the rate of student enrollment in coming years. the data for this research were from data sets of voluntee...

Hassan Assareh Kerrie L Mengersen Rassoul Noorossana

Precise identification of the time when a process has changed enables process engineers to search for a potential special cause more effectively. In this paper, we develop change point estimation methods for a Poisson process in a Bayesian framework. We apply Bayesian hierarchical models to formulate the change point where there exists a step < /div> change, a linear trend and a known multip...

D. Sun, G. White, M. Schootman,

In this paper, a Bayesian hierarchical model is used to anaylze the female breast cancer mortality rates for the State of Missouri from 1969 through 2001. The logit transformations of the mortality rates are assumed to be linear over the time with additive spatial and age effects as intercepts and slopes. Objective priors of the hierarchical model are explored. The Bayesian estimates are quite ...

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