In this paper, we present uncertainties of statistical quantities direct numerical simulations (DNS) with small errors. The are analysed for channel flow and a separation case in confined backward facing step (BFS) geometry. infinite has two homogeneous directions is usually exploited to speed-up the convergence results. As show, such procedure reduces results by up an order magnitude. This eff...

Economists are obsessed with rankings of institutions, journals, or scholars according to the value some feature interest. These invariably computed using estimates rather than true values such features. As a result, there may be considerable uncertainty concerning ranks. In this paper, we consider problem accounting for by constructing confidence sets We marginal rank of, say, particular journ...

2 UNCERTAINTIES ASSOCIATED WITH GHG INVENTORIES..................................................2 2.1 LIMITATIONS AND PURPOSES OF UNCERTAINTY QUANTIFICATION....................................................3 2.2 PARAMETER UNCERTAINTIES: SYSTEMATIC AND STATISTICAL UNCERTAINTIES...............................3 3 AGGREGATING STATISTICAL UNCERTAINTY .................................................

abstract background and aim: the intolerance of uncertainty model was initially developed as an explanation for worry within the context of generalized anxiety disorder. however, recent research has identified intolerance of uncertainty (iu) as a transdiagnostic maintaining factor across the anxiety disorders. the aim of the present study was to compare the intolerance of uncertainty in patient...

This paper designs a statistical quantification towards the intermittent power uncertainty in power systems. A negative-exponential forecast uncertainty function is constructed to represent the relationship between the statistics of forecast error of a single intermittent power source and time advance. Subsequently, other kinds of statistical functions are proposed to characterize the statistic...

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....

Statistical learning research often assumes that learners collect global statistics across the entire set of stimuli they are exposed to. In naturalistic settings, this assumption of global access to training data is problematic because it implies that the cognitive system must keep track of an exponentially growing number of relations while determining which of those relations is significant. ...

Diverse arrays of modern applications require accurate predictions of complex turbulent flows. These range from flows across aircraft and inside turbomachinery, over the planet for weather prediction and through the heart for cardiac auscultation, etc. Due to the disparate character of these complex flows, predictive methods must be robust so as to be applicable for most of these cases, yet pos...