estimating the final price of products is of great importance. for manufacturing companies proposing a final price is only possible after the design process over. these companies propose an approximate initial price of the required products to the customers for which some of time and money is required. here using the existing data of already designed transformers and utilizing the bayesian anal...

estimating the final price of products is of great importance. for manufacturing companies proposing a final price is only possible after the design process over. these companies propose an approximate initial price of the required products to the customers for which some of time and money is required. here using the existing data of already designed transformers and utilizing the bayesian anal...

aim : the aim of this study is to estimate gastric cancer (gc) mortality rate for iranian population, using bayesian approach in order to revise the existing classification which is thought to be a misclassification. background : gastric cancer (gc) is an important cause of mortality among many other types of cancer. data on cancer mortality can be used to guide policy makers in order to setup ...

aim : the aim of this study is to estimate oral cavity cancer mortality for iranian population, using bayesian approach in order to revise this misclassification. background : mortality is a familiar projection to address the burden of cancers, but according to iranian death registry, about 20% death statistics were still recorded in misclassified categories. patients and methods : we analyzed ...

the problems of sequential change-point have several important applications in quality control, signal processing, and failure detection in industry and finance. we discuss a bayesian approach in the context of statistical process control: at an unknown time $tau$, the process behavior changes and the distribution of the data changes from p0 to p1. two cases are considered: (i) p0 and p1 are fu...

to compare different qtl mapping methods, a population with genotypic and phenotypic data was simulated. in bayesian approach, all information of markers can be used along with combination of distributions of snp markers. it is assumed that most of the markers (95%) have minor effects and a few numbers of markers (5%) exert major effects. the simulated population included a basic population of ...

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....

the  main  assumptions  in  liner  mixed  model  are normality  and  independency  of  random  effect component.   unfortunately,   these   two  assumptions   might   be  unrealistic   in  some   situations. therefore, in this paper, we will discuss about the analysis of bayesian analysis of non-normal and non-independent mixed model using skew-normal/independent distributions, and finally, thi...

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....