نتایج جستجو برای: regression kriging
تعداد نتایج: 320237 فیلتر نتایج به سال:
Title of dissertation: SIMULATION OPTIMIZATION: NEW APPROACHES AND AN APPLICATION Huashuai Qu, Doctor of Philosophy, 2014 Dissertation directed by: Professor Michael C. Fu Department of Decision, Operations, and Information Technologies Simulation models are commonly used to provide analysis and prediction of the behavior of complex stochastic systems. Simulation optimization integrates optimiz...
1. Abstract Over three decades, metamodeling has been widely applied to design optimization problems to build a surrogate model of computation-intensive engineering models. The Kriging method has gained significant interests for developing the surrogate model. However, traditional Kriging methods, including the ordinary Kriging and the universal Kriging, use fixed polynomials basis functions to...
drought, as a normal, recurrent climatic condition with complicated mechanism, is one of the least known natural disasters that may occur in any climatic condition. considering the recent drought events in the iran and the deterioration of water crisis, especially in the area under study, the necessity of further research in this area is felt. also, the evaluation and monitoring of drought with...
A total of 21 gauges across the mountainous leeward portion of the island of Oʻahu, Hawaiʻi, were used to compare rainfall interpolation methods and assess rainfall spatial variability over a 34-month monitoring period from 2005 to 2008. Traditional and geostatistical interpolation methods, including Thiessen polygon, inverse distance weighting (IDW), linear regression, ordinary kriging (OK), a...
introduction: as the statistical time series are in short period and the meteorological station are not distributed well in mountainous area determining of climatic criteria are complex. therefore, in recent years interpolation methods for establishment of continuous climatic data have been considered. continuous daily maximum temperature data are a key factor for climate-crop modeling which is...
Spatial modeling of air pollution exposures is widespread in air pollution epidemiology research as a way to improve exposure assessment. However, there are key sources of exposure model uncertainty when air pollution is modeled, including estimation error and model misspecification. We examine the use of predicted air pollution levels in linear health effect models under a measurement error fr...
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