Mixing Gaussian Models to Price CMS Derivatives

2005 ◽  
Author(s):  
Fabio Mercurio ◽  
Andrea Pallavicini
Keyword(s):  
Gaussian Models

The clutter SIRP and Gaussian models: a brief overview and a comparison

2008 ◽  
Author(s):  
L. Dejean ◽  
D. Pastor ◽  
J.-M. Quellec ◽  
M. Chabah ◽  
N. Bon
Keyword(s):  
Gaussian Models

Modelling transformer core joints using Gaussian models for the magnetic flux density and permeability

2010 ◽  
Vol 4 (9) ◽  
pp. 761 ◽  
Author(s):  
I. Hernández ◽  
F. de León ◽  
J.M. Cañedo ◽  
J.C. Olivares-Galván
Keyword(s):  
Magnetic Flux ◽  
Flux Density ◽  
Magnetic Flux Density ◽  
Gaussian Models ◽  
Transformer Core

scholarly journals Trispectrum estimator in equilateral type non-Gaussian models

2010 ◽  
Vol 2010 (10) ◽  
pp. 002-002 ◽  
Author(s):  
Shuntaro Mizuno ◽  
Kazuya Koyama
Keyword(s):  
Gaussian Models ◽  
Non Gaussian

DISPERSION MODELS FOR EMISSIONS FROM AGRICULTURAL SOURCES G.-J. MEJER and K.-H. KRAUSE Institut fiir landtechnische Grundlagenforschung der Bundesforschungsanstalt fiir Landwirtschaft Summary The aim of dispersion models is the prediction of atmospheric dilution of pollutants in order to prevent or avoid nuisance. Established dispersion models, designed for the large scale of industrial air pol­ lution have to be modified to the small scale of agricultural pol­ lutions. An experimental setup is described to measure atmospheric dilution of tracer gas under agricultural conditions. The experimental results deliver the data base to identify the parameters of the models. For undisturbed airflow modified Gaussian models are applicable. For the consideration of obstacles more sophisticated models are necessary. 1. INTRODUCTION The aim of dispersion models is to develop reliable methods for calcu­ lating the atmospheric dilution of airborne pollutants under practical conditions. One application in agriculture is the determination of that distance, at which i.g. odouriferous pollutants of an animal farm are diluted in the atmosphere to a concentration below a certain threshold, in order to allow the farmer a profitable production and likewise to prevent odour nuisance from the neighbourhood. Another application is the prediction of the effectiveness of changes in the emission source configuration, in order to reduce the odour nuisance in the existent vicinity. That could help to avoid expensive misinvestments. In air pollution control it is useful! to subdivide this large problem into three main divisions /1/, fig. 1:

1986 ◽  
pp. 113-113
Keyword(s):  
Large Scale ◽  
Small Scale ◽  
Air Pollution Control ◽  
Dispersion Models ◽  
Tracer Gas ◽  
Gaussian Models ◽  
Airborne Pollutants ◽  
Animal Farm ◽  
Reliable Methods
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