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The compound Poisson INAR(1) model for time series of overdispersed counts is considered.
Data are collected online and preprocessed the same way as in training then input to the ANFIS model for time to break calculation.
MoSST −DAS utilizes the MoSST core dynamics model for time integration of the magnetic field (Kuang et al. 2008; Sun and Kuang 2015).
Vijayashree and Uthayakumar (2015) have developed an EOQ model for time deteriorating items with infinite and finite production rate with shortage and complete backlogging.
ARIMA is a widely used statistical model for time series analysis and has also been used successfully in network traffic modeling [11, 12].
Consequently, we propose a model for time perception, based on a parallel processing between comparison interval perception and the reconstruction of the reference duration.
Similar(17)
The core to seismic correlation relies on an accurate P wave velocity model for time-depth conversion.
We study an integral-constrained game theoretic model for time-definite less-than-truckload freight services in an oligopolistic market.
A new model for time-dependent dynamic modulus of elasticity of concrete containing GGBFS has been proposed.
A new model for time-dependent static modulus of elasticity of concrete containing GGBFS has been proposed.
In this paper, we present the novel Random-Cluster Model (RCM), a geometry-based stochastic MIMO channel model for time-variant frequency-selective channels.
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