MOTIVATION Recently a class of nonparametric statistical methods, including the empirical Bayes (EB) method, the significance analysis of microarray (SAM) method and the mixture model method (MMM), have been proposed to detect differential gene expression for replicated microarray experiments conducted under two conditions. All the methods depend on constructing a test statistic Z and a so-call...

Collaboration among scholars and institutions is progressively becoming essential to the success of research grant procurement and to allow the emergence and evolution of scientific disciplines. Our work focuses on analysing if the volume of collaborations of one author together with the relevance of his collaborators is somewhat related to his research performance over time. In order to prove ...

this study is aimed at comparison of two quantitative model arima and madm in predicting manpower costs. also qualitative issue and problems of manpower planning are transformed in to qualitative one’s so as optimum planning and forecasting be made. in this study, we first used the time- series models especially arima, to fit forecasting manpower costs in shiraz hafez tile mfg. plant and extrac...

Parametric regression models assume that the dependent variable is a linear relationship with independent variables and form of known. Nonparametric methods are applied in cases where type not known or assumptions cannot be provided. However, when there more than one variable, some may while nonlinear relationship. In order to model these variables, semiparametric models, which combination para...

since the pioneering work of zadeh, fuzzy set theory has been applied to amyriad of areas. song and chissom introduced the concept of fuzzy time series andapplied some methods to the enrolments of the university of alabama. thereafter weapply fuzzy techniques for system identification and apply statistical techniques tomodelling system. an automatic methodology framework that combines fuzzytech...