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Most cancer research now involves one or more assays profiling various biological molecules, e.g., messenger RNA and micro RNA, in samples collected on the same individuals. The main interest with these genomic data sets lies in the identification of a subset of features that are active in explaining the dependence between platforms. To quantify the strength of the dependency between two variables,...
Improving reliability of the distribution system has necessitated the inclusion of considering precise assumptions in reliability study. Analytical methods of reliability assessment use constant reliability parameters which are not appropriate for real power distribution components and can give misleading guidance in designing and planning the distribution system. In this paper, Poisson process is...
In grocery stores, discount flyers act as important tools to provide discount information to customers and increase their purchasing motivation. However, limited space is available on discount flyers. Furthermore, because customers purchase popular products even if they are not actively being promoted, mentioning them on discount flyers is an ineffective strategy. Therefore, the proper allocation...
The procedure to accommodate continuous data with autocorrelation is to use control charts residuals which are adjusted by time series methods, and when we analyze discrete data with autocorrelation is analyzed, the Poisson distribution is often employed. This paper shows the application of statistic quality control (SQC) to the sand foundry in the Industry FUNDIMISA, in Santo Angelo (RS/Brasil)....
Generalized linear models serve as a useful class of regression models for discrete and continuous data. In applications such as longitudinal studies, observations are typically correlated. The correlation structure in the data is induced by introducing a random effect, leading to the generalized linear mixed model (GLMM). In this paper, we propose a class of informative prior distributions for the...
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