Stochastic modeling
Stochastic modeling of global software development teams
... of stochastic modeling and FTS could be mixed in order to produce important considerations to be used by decision makers, ...the stochastic models it is possible to obtain evidence of bottlenecks in ...
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INTENSITY-DURATION-FREQUENCY RELATIONSHIPS: STOCHASTIC MODELING AND DISAGGREGATION OF DAILY RAINFALL IN THE LAGOA MIRIM WATERSHED, RIO GRANDE DO SUL, BRAZIL
... Stochastic modeling using a homogeneous first order Markov chain showed to be adequate to estimate sequences of dry and rainy days. The statistics values of observed daily rainfall series were preserved ...
11
Allelic richness following population founding events--a stochastic modeling framework incorporating gene flow and genetic drift.
... the modeling and analysis of varied scenarios regarding heterozygosity, as well as the inclusion of processes such as gene flow to provide quantitative predictions and ...
23
Stochastic modeling for the expression of a gene regulated by competing transcription factors.
... the stochastic transitions between ‘‘OFF’’ and ‘‘ON’’ states of the gene enhancer/promoter are controlled by two parameters: p 1 is the probability of switching from the ‘‘OFF’’ ...
10
Stochastic modeling of the thermal and catalytic degradation of polyethylene using simultaneous DSCTG analysis
... This stochastic model presents some advantages over other models previously developed, namely the deterministic ...a stochastic model in the prediction of HDPE degradation allows the insertion of the ...
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Stochastic Modeling for a Better Approach of the in vitro Observed Growth of Colon Adenocarcinoma Cells
... a stochastic model that reflects the cell growth and the use of computer software could be very useful in modelling the cell behaviour due to the possibility to introduce alterations in biology parameters to ...
6
Incorporating climate trends in the stochastic modeling of extreme minimum air temperature series of Campinas, state of São Paulo, Brazil
... Under the hypothesis that the presence of climate trends in the annual extreme minimum air temperature series of Campinas (Tminabs; 1891-2010; 22º54’S; 47º05’W; 669 m) may no longer be [r] ...
6
Stochastic Modeling of Lift and Drag Dynamics to Obtain Aerodynamic Forces with Local Dynamics on Rotor Blade under Unsteady Wind Inflow
... a stochastic model of the lift and drag dynamics is integrated into a classical BEM as an alternative to static airfoil data table to obtain the aerodynamic forces with complete local ...a stochastic rotor ...
10
The Usage of Time Series Control Charts for Financial Process Analysis
... of stochastic modeling of time series using autoregressive integrated moving average models, the ARIMA ...linear stochastic autoregressive models (models AR), moving average (model MA), mixed models ...
17
Did modeling overestimate the transmission potential of pandemic (H1N1-2009)? Sample size estimation for post-epidemic seroepidemiological studies.
... among stochastic modeling experts [50], the present study extended its use to the computation of the 95% confidence interval of the observed final size by replacing the reproduction number by its ...
10
AN OPTIMIZED GLOBAL SYNCHRONIZATION ON SDDCN
... the stochastic modeling issue has been of vital importance in many branches of science such as neurotransmitters and network packet ...of stochastic coupling and/or external stochastic ...
6
A Stochastic Approach to Modeling the Managerial Information Processing
... the stochastic modeling of information flow in itself and providing a rigorous mathematical model to calculate how much information a company may lose or receive in a given period of time and given number ...
5
Bayesian estimation of inefficiency heterogeneity in stochastic frontier models
... However, the estimated inefficiency component often includes some firm characteristics other than outputs, inputs, or prices defined from the production or cost function, which should not be attributed to inefficiency. ...
29
J. Braz. Chem. Soc. vol.26 número6
... and stochastic bilinear indices are ...and stochastic bilinear indices provided excellent classification of the chemical compounds (with accuracies of ...non- stochastic and stochastic ...
9
Generalization of stochastic visuomotor rotations.
... The task was designed to measure how subjects generalize the mean of a noisy visuomotor rotation, that is, how a perturbation learned during movements in one direction affects subsequent movements in other, test ...
9
On the numerical methods for the Heston model
... Numerical methods are tools that are often applied to solve stochastic differential equations because most of these do not have explicit solution. This means that we are not able to solve these equations using ...
53
Braz. J. Phys. vol.36 número3A
... In section II we introduce some hypothesis, which are very realistic for real ferrofluids, defining in this way the essence of the model. The equations of motion are also introduced in this section. Since the simulation ...
6
Sequential parameter estimation for stochastic systems
... It was clear a priori that the EnKF is subject to two prob- lems. One of them is common for all Kalman filtering schemes in application to non-Gaussian distributions: they do not produce the variance-minimizing estimate ...
7
Braz. J. Phys. vol.29 número1
... low the Gaussian random force (t) to be a long-range correlated noise, this type of Gaussian Langevin-like equation can also be worked out, in a similar way, as we have presented here[11]. Thus, an open problem can be ...
11
Braz. J. Chem. Eng. vol.27 número3
... this stochastic formulation, however, the modeling of the random motion was found to be a crucial task for the model performance: the assumption of a specific Brownian motion implies that diffusion ...
9