Academic literature on the topic 'Stochastic disaggregation'
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Journal articles on the topic "Stochastic disaggregation"
Krzysztofowicz, Roman, and Thomas A. Pomroy. "Disaggregative Invariance of Daily Precipitation." Journal of Applied Meteorology 36, no. 6 (June 1, 1997): 721–34. http://dx.doi.org/10.1175/1520-0450-36.6.721.
Full textLin, Gwo-Fong, and Fong-Chung Lee. "Multistage disaggregation processes in stochastic hydrology." Water Resources Management 6, no. 2 (1992): 101–15. http://dx.doi.org/10.1007/bf00872206.
Full textSivakumar, B., W. W. Wallender, C. E. Puente, and M. N. Islam. "Streamflow disaggregation: a nonlinear deterministic approach." Nonlinear Processes in Geophysics 11, no. 3 (September 8, 2004): 383–92. http://dx.doi.org/10.5194/npg-11-383-2004.
Full textGao, Xiaogang, and Soroosh Sorooshian. "A Stochastic Precipitation Disaggregation Scheme for GCM Applications." Journal of Climate 7, no. 2 (February 1994): 238–47. http://dx.doi.org/10.1175/1520-0442(1994)007<0238:aspdsf>2.0.co;2.
Full textBuchholz, Peter. "An Aggregation/Disaggregation Algorithm for Stochastic Automata Networks." Probability in the Engineering and Informational Sciences 11, no. 2 (April 1997): 229–53. http://dx.doi.org/10.1017/s0269964800004782.
Full textBo, Zhiquan, Shafiqul Islam, and E. A. B. Eltahir. "Aggregation-disaggregation properties of a stochastic rainfall model." Water Resources Research 30, no. 12 (December 1994): 3423–35. http://dx.doi.org/10.1029/94wr02026.
Full textGagnon, P., and A. N. Rousseau. "Stochastic spatial disaggregation of extreme precipitation to validate a regional climate model and to evaluate climate change impacts over a small watershed." Hydrology and Earth System Sciences 18, no. 5 (May 9, 2014): 1695–704. http://dx.doi.org/10.5194/hess-18-1695-2014.
Full textGagnon, P., and A. N. Rousseau. "Stochastic spatial disaggregation of extreme precipitation to validate a Regional Climate Model and to evaluate climate change impacts over a small watershed." Hydrology and Earth System Sciences Discussions 10, no. 6 (June 26, 2013): 8167–95. http://dx.doi.org/10.5194/hessd-10-8167-2013.
Full textWright, S. E. "Primal-Dual Aggregation and Disaggregation for Stochastic Linear Programs." Mathematics of Operations Research 19, no. 4 (November 1994): 893–908. http://dx.doi.org/10.1287/moor.19.4.893.
Full textSchleiss, Marc, and Alexis Berne. "Stochastic Space–Time Disaggregation of Rainfall into DSD fields." Journal of Hydrometeorology 13, no. 6 (December 1, 2012): 1954–69. http://dx.doi.org/10.1175/jhm-d-12-013.1.
Full textDissertations / Theses on the topic "Stochastic disaggregation"
Mahbub, S. M. Parvez Bin, and s. mahbub@qut edu au. "Stochastic Disaggregation of Daily Rainfall for Fine Timescale Design Storms." Central Queensland University. Centre for Railway Engineering, 2008. http://library-resources.cqu.edu.au./thesis/adt-QCQU/public/adt-QCQU20080813.151345.
Full textAl-Tamimi, Rami Salhab. "Continuous time disaggregation in hierarchical production planning." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001819.
Full textSamadzad, Mahdi. "Space disaggregation in models of route and mode choice : method and application to the Paris area." Thesis, Paris Est, 2013. http://www.theses.fr/2013PEST1058/document.
Full textSpatial representation of modeling area in travel demand models has changed little over the course of last several decades. In this regard, the state-of-the-art still widely relies on the same centroid-connector system that has been used in classic models. In this approach continuum bidimensional space is lumped on centroids. It is an aggregate approach which ignores the physical variability linked to the scatteredness of disaggregate residence- and activity-places over the local space. Consequently the modeling performance in explaining route and mode choice behavior degrades at local scales: In route choice, disaggregate location influences the propensity between a distant interchange to a highway, or a nearby road. In mode choice, feeder service to public transportations influences the auto vs. transit modal share. We propose a disaggregate approach for spatial representation. Based on a zoning system, a stochastic disaggregate representation is used to characterize the space within a traffic analysis zone. For each zone, anchor-points are defined as the network nodes that are used for accessing to the network from within the local space. An itinerary between a pair of zones is then considered as a chain of legs composed of two terminal legs, corresponding to the intrazonal route sections, and one main leg between two anchor points. The route choice problem is transformed to a joint choice of a pair of anchor points. The vector of random terminal travel times is Multivariate Normal resulting in a Multinomial Probit model of choice of a pair of anchor points. To extend to the multimodal context, a transit composite mode is defined as a chain of access, main, and egress modal legs, and transit platforms are considered as anchor points connecting the feeder legs to the main line-haul leg. A Multinomial Logit mode choice model is estimated based on the 2001 Paris Household Travel Survey for the auto mode and the composite transit modes. It is joined with the two Multinomial Probit models corresponding to the choice of anchor points. The result is a joint model of mode and station choice with a disaggregate representation of the local space
Zhang, Jingwei. "Numerical Methods for the Chemical Master Equation." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/30018.
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Book chapters on the topic "Stochastic disaggregation"
Lane, William L. "Aggregation and Disaggregation Modelling." In Stochastic Hydrology and its Use in Water Resources Systems Simulation and Optimization, 97–116. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1697-8_5.
Full textReyman, Grzegorz, and Jan van der Wal. "Aggregation — Disaggregation Algorithms for Discrete Stochastic Systems." In Operations Research Proceedings, 515–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73778-7_136.
Full textMarco, Juan B. "The Segura River Basin Model. Disaggregation in a Semiarid Environment." In Stochastic Hydrology and its Use in Water Resources Systems Simulation and Optimization, 413–23. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1697-8_25.
Full textPOSCHINGER, A., R. KATES, and H. KELLER. "Coupling of Concurrent Macroscopic and Microscopic Traffic Flow Models Using Hybrid Stochastic and Deterministic Disaggregation." In Transportation and Traffic Theory in the 21st Century, 583–605. Elsevier, 2002. http://dx.doi.org/10.1016/b978-008043926-6/50031-2.
Full textAndreas, Poschinger, AG Siemens, Kates Ronald, and Keller Hartmut. "Coupling of Concurrent Macroscopic and Microscopic Traffic Flow Models using Hybrid Stochastic and Deterministic Disaggregation." In Transportation and Traffic Theory in the 21st Century, 583–605. Emerald Group Publishing Limited, 2002. http://dx.doi.org/10.1108/9780585474601-029.
Full textConference papers on the topic "Stochastic disaggregation"
Heracleous, Panikos, Pongtep Angkititraku, and Kazuya Takeda. "Stochastic modeling and disaggregation of energy-consumption behavior." In ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2014. http://dx.doi.org/10.1109/icassp.2014.6855215.
Full textdi Filippo, Rocco, Giuseppe Abbiati, Osman Sayginer, Patrick Covi, Oreste S. Bursi, and Fabrizio Paolacci. "Numerical Surrogate Model of a Coupled Tank-Piping System for Seismic Fragility Analysis With Synthetic Ground Motions." In ASME 2019 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/pvp2019-93685.
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