Statistical modeling
Statistical modeling of mixtures: a tutorial experiment using anodic stripping voltammetry.
... STATISTICAL MODELING OF MIXTURES: A TUTORIAL EXPERIMENT USING ANODIC STRIPPING ...the modeling procedure for a solvent mixture using the simplex- centroid ...
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The Statistical Modeling of the Trends Concerning the Romanian Population
... the statistical modeling concerning the resident population in Romania, respectively the total of the romanian population, through by means of the „Least Squares Method ...a statistical technique for ...
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Statistical modeling of Agatston score in multi-ethnic study of atherosclerosis (MESA).
... The MESA (Multi-Ethnic Study of Atherosclerosis) is an ongoing study of the prevalence, risk factors, and progression of subclinical cardiovascular disease in a multi-ethnic cohort. It provides a valuable opportunity to ...
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Robust statistical modeling of portfolios
... proaches (for example, Reyna and Mendes (2001)) are meant to be used for long term objectives, since they capture the dynamics of the majority of the business days, the \ normal" days. On the other hand, the e± cient ...
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Toward the quantification of a conceptual framework for movement ecology using circular statistical modeling.
... establish statistical methods that adequately divide a trajectory into segments, referred to as short-duration fundamental movement elements in Getz and Saltz [2], so that each segment can be explained by a single ...
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Bayesian statistical modeling of spatially correlated error structure in atmospheric tracer inverse analysis
... modeling into a temporal framework is standard, and this, together with extension to model potential time-variations in source fluxes, will rely on additional Bayesian com- putational methods that are ...
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Analysis of tongue shape and motion in speech production using statistical modeling
... The mechanisms of speech production are complex and have been raising attention from researchers of both medical and computer vision fields. Techniques of medical imaging are being continuously developed to allow a ...
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Biological treatment of a synthetic dairy wastewater in a sequencing batch biofilm reactor: Statistical modeling using optimization using response surface methodology
... The model terms in the equations are those re- mained after the elimination of insignificant variables and their interactions. Based on the statistical ana- lysis, the models were highly significant with very low ...
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Statistical modeling of the abundance of vectors of West African Rift Valley fever in Barkedji, Senegal.
... between the site and the collection period. All of the computations were based on posterior samples derived using MCMC methods. Two chains were run with 35,000 iterations each and the first 30,000 iterations of each ...
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Statistical modeling of fatigue crack growth rate in pre-strained 7475-T7351 aluminum alloy
... To assess the model goodness of fit, several statistical numer- ical measures may be checked such as R 2 , R 2 adj , F, S.E., MSE, Schwarz’s Bayesian Information Criterion (BIC), and Akaike’s Information Criterion ...
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Statistical modeling of fatigue crack growth rate in Inconel alloy 600
... The objective of this study is to present and model FCGR data of Inconel alloy 600 at room temperature, since few works [7–10] have been published. Due to the sig- moidal shape of the log(da/dN)–log(DK) curve, ...
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A Critical Review of Statistical Modeling of Digital Images
... the statistical literature in image segmentation has used Markov random field models, not for shape variables, but for the “true” image underlying the observed gray value ...of modeling spatial ...
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TECHNOLOGICAL PROCESS MODELING AIMING TO IMPROVE ITS OPERATIONS MANAGEMENT
... the modeling procedure of one real technological ...of modeling. Sufficient data base for statistical modeling was constructed using the orthogonal factorial design of the ...linear ...
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Rev. Saúde Pública vol.38 número4
... Statistical modeling was applied to a time series of deaths ascribed to “poorly defined intestinal infections” (International Classification of Diseases – ICD-9) and “presumably infectious diarrhea and ...
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Identification of cardiovascular risk components in urban Chinese with metabolic syndrome and application to coronary heart disease prediction: a longitudinal study.
... bio-statistical modeling technique to develop a MetS related synthetic predictor (SP) for classifying subjects with or without CVD, and to predict high risk of CVD using data from a large-scale routine ...
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J. Microw. Optoelectron. Electromagn. Appl. vol.11 número2
... the statistical modeling of rain attenuation must be ...which statistical modeling is indispensable since it provides statistics parameters to feed ...
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Rev. Esc. Minas vol.67 número4
... statistical modeling had a total of 1643 samples in the layer of interest. Because of the characteristics of the mineral deposit, it was impossible to regularize the bases of the samples, i.e. setting all ...
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Mat. Res. vol.7 número4
... for modeling the large plastic deformations involved in the stir-welding process, the stress deviator tensor S can be related to deformation rate tensor D – which is actually a deviator in virtue of the ...
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STATISTICAL ANALYSIS AND MARKOV MODELING OF DYNAMIC RESOURCE PROVISIONING IN ELASTIC OPTICAL NETWORKS Adriana de Nazaré Farias da Rosa
... an EON that enables the dynamic spectrum sharing among connections. Such analy- sis is relevant because demands are not only dynamic in terms of arrival and duration but they are also dynamic in terms of bandwidth. For ...
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Thermal expansion behavior of co-extruded wood-plastic composites with glass-fiber reinforced shells
... of modeling. Thus, the finite element modeling approach provides a way to optimize raw material composition and composite structure to minimize thermal expansion behavior of co-extruded ...
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