The use of a linear estimator to estimate random eeects in a Mixed Model is not necessarily optimal if the prior distribution is non-normal. Either a frequentist or Bayesian approach leads to the Best Linear Unbiased Predictor (BLUP), but an empirical Bayes approach produces a multivariate, non-linear, single-pass kernel-based estimator (the General Empirical Bayes or GEB es-timator) that allow...

Background: With increasing age, some changes appeared in specifications of vessels which including dimensions and elasticity in their. The changes in parameters such as resistance, inertance and compliance vessels appear and eventually changes in the environmental pulse releases are in circulation. These changes clearly appear in specification of photoplethysmogram particularly in the size and...

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this article has considered the volume and direction of iran’s trade using the gravity model. the major issue in this analysis is to explore why iran over or under-traded with the 76 countries relative to the predicted trade flows of the model. the study attempts to explore the reasons from the respect of both the model itself and iran’s trade structure. this is done by analysing the performanc...

introduction: the adaptive neuro-fuzzy inference system (anfis) is a soft computing model based on neural network precision and fuzzy decision-making advantages, which can highly facilitate diagnostic modeling. in this study we used this model in breast cancer detection. methodology: a set of 1,508 records on cancerous and non-cancerous participant’s risk factors was used.  first, the risk fact...

abstract background: hospital emergency ward plays a pivotal role in hospital and health care system regarding necessity of immediate,qualicative and effective performance due to numerous and complicated processes happens in the emergency ward. qfd is one of the most effective methods used for designing and improving the quality in order to fulfill customers' expectations and improve their...