A Markov-switching vector autoregressive stochastic wind generator for multiple spatial and temporal scales

AS Hering, K Kazor, W Kleiber - Resources, 2015 - mdpi.com
Despite recent efforts to record wind at finer spatial and temporal scales, stochastic
realizations of wind are still important for many purposes and particularly for wind energy …

Testing the semi Markov model using Monte Carlo simulation method for predicting the network traffic

S Kordnoori, H Mostafaei, S Kordnoori… - Pakistan Journal of …, 2020 - pjsor.com
Semi-Markov processes can be considered as a generalization of both Markov and renewal
processes. One of the principal characteristics of these processes is that in opposition to …

Food warehousing simulation by RFID technology

H Xiao, H Bo, W Chen - Journal of Interdisciplinary Mathematics, 2017 - Taylor & Francis
Warehouse industry originated abroad and has gained great development for nearly one
century. In this paper we combined the RFID technology with the features of food ware …

Confidence interval for the mean time to failure in semi-markov models: An application to wind energy production

I Votsi, A Brouste - Journal of Applied Statistics, 2019 - Taylor & Francis
Mean times to failure are fundamental indicators in reliability and related fields where
stochastic processes are used to describe random, real-life systems. Here we focus on the …

Pricing weather derivatives, and constructing portfolios that reduce the weather risk for ski resorts

AM Haugan, JB Rasmussen - 2019 - ntnuopen.ntnu.no
The weather changes continuously, and climate change affects businesses to an increasing
degree. Many businesses' economic performance highly depends on the weather. Tourism …

[PDF][PDF] Theory and Methods for Large Spatial Data

Z Mullen - 2018 - scholar.colorado.edu
The Gaussian process sits at the center of a large number of techniques and results in
statistics, ranging from the Central Limit Theorem to the assumptions underlying ANOVAs …