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Relevant bibliographies by topics / Nonhomogeneous poisson processes

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Academic literature on the topic 'Nonhomogeneous poisson processes'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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Journal articles on the topic "Nonhomogeneous poisson processes"

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Wang, Xiao-Tian, Shi-Ying Zhang, and Shen Fan. "Nonhomogeneous fractional Poisson processes." Chaos, Solitons & Fractals 31, no. 1 (2007): 236–41. http://dx.doi.org/10.1016/j.chaos.2005.09.063.

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Richards, Sarah C., William H. Woodall, and Gregory Purdy. "Surveillance of Nonhomogeneous Poisson Processes." Technometrics 57, no. 3 (2014): 388–94. http://dx.doi.org/10.1080/00401706.2014.927790.

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Pellerey, Franco, Moshe Shaked, and Joel Zinn. "NONHOMOGENEOUS POISSON PROCESSES AND LOGCONCAVITY." Probability in the Engineering and Informational Sciences 14, no. 3 (2000): 353–73. http://dx.doi.org/10.1017/s0269964800143062.

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In this article, we identify conditions under which the epoch times and the interepoch intervals of a nonhomogeneous Poisson process have logconcave densities. The results are extended to relevation counting processes. We also study discrete-time counting processes and find conditions under which the epoch times and the interepoch intervals of these discrete-time processes have logconcave discrete probability densities. The results are interpreted in terms of minimal repair and record values. Several examples illustrate the theory.

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Dykstra, R. L., Hammou El Barmi, James M. Guffey, and F. T. Wright. "Nonhomogeneous poisson processes as overhaul models." Canadian Journal of Statistics 24, no. 2 (1996): 217–28. http://dx.doi.org/10.2307/3315627.

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He, Shengwu, and Jiagang Wang. "Thinning of Point Processes—Martingale Method." Probability in the Engineering and Informational Sciences 4, no. 1 (1990): 117–29. http://dx.doi.org/10.1017/s0269964800001480.

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By using the martingale method, we show that thinning of an arbitrary point process produces independent thinned processes if and only if the original point process is (nonhomogeneous) Poisson. Thinning is a classical problem for point processes. It is well-known that independent homogeneous Poisson processes result from constant Bernoulli thinnings of homogeneous Poisson processes. In fact, the conclusion remains true for nonconstant Bernoulli thinnings of nonhomogeneous Poisson processes. processes. In fact, the conclusion remains true for nonconstant Bernoulli thinnings of nonhomogeneous Po

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Grabski, Franciszek. "Nonhomogeneous Stochastic Processes Connected to Poisson Process." Zeszyty Naukowe Akademii Marynarki Wojennej 213, no. 2 (2018): 5–15. http://dx.doi.org/10.2478/sjpna-2018-0009.

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Abstract Some generalizations of the Poisson process and their properties are presented in the paper. The non-homogeneous Poisson process allows to construct a probabilistic model describing the different kinds of accidents number. The nonhomogeneous compound Poisson process enables to describe mathematically the various types of accidents consequences. Theoretical results give possibility to anticipate the accidents number and their consequences.

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Saltzman, Evan A., John H. Drew, Lawrence M. Leemis, and Shane G. Henderson. "Simulating Multivariate Nonhomogeneous Poisson Processes Using Projections." ACM Transactions on Modeling and Computer Simulation 22, no. 3 (2012): 1–13. http://dx.doi.org/10.1145/2331140.2331143.

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Guo, R., and C. E. Love. "Simulating nonhomogeneous poisson processes with proportional intensities." Naval Research Logistics 41, no. 4 (1994): 507–22. http://dx.doi.org/10.1002/1520-6750(199406)41:4<507::aid-nav3220410404>3.0.co;2-h.

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Kuhl, Michael E., and James R. Wilson. "Least squares estimation of nonhomogeneous poisson processes." Journal of Statistical Computation and Simulation 67, no. 1 (2000): 699–712. http://dx.doi.org/10.1080/00949650008812036.

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Chen, C. S., and T. H. Savits. "Some remarks on compound nonhomogeneous Poisson processes." Statistics & Probability Letters 17, no. 3 (1993): 179–87. http://dx.doi.org/10.1016/0167-7152(93)90165-f.

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Dissertations / Theses on the topic "Nonhomogeneous poisson processes"

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Shih, Li-Hsing. "The nonhomogeneous Poisson process with covariate effects /." Full-text version available from OU Domain via ProQuest Digital Dissertations, 1991.

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Rannestad, Bjarte. "Exact Statistical Inference in Nonhomogeneous Poisson Processes, based on Simulation." Thesis, Norwegian University of Science and Technology, Department of Mathematical Sciences, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-10775.

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<p>We present a general approach for Monte Carlo computation of conditional expectations of the form E[(T)|S = s] given a sufficient statistic S. The idea of the method was first introduced by Lillegård and Engen [4], and has been further developed by Lindqvist and Taraldsen [7, 8, 9]. If a certain pivotal structure is satised in our model, the simulation could be done by direct sampling from the conditional distribution, by a simple parameter adjustment of the original statistical model. In general it is shown by Lindqvist and Taraldsen [7, 8] that a weighted sampling scheme needs to be used.

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Richardson, Mary Golden. "Power law process models for nonhomogeneous poisson process change-points /." free to MU campus, to others for purchase, 1997. http://wwwlib.umi.com/cr/mo/fullcit?p9840029.

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Deo, Shalaka C. "Smooth flexible models of nonhomogeneous Poisson processes fit to one or more process realizations /." Online version of thesis, 2009. http://hdl.handle.net/1850/11173.

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Wang, Shi'an. "Stochastic Dynamic Model of Urban Traffic and Optimum Management of Its Flow and Congestion." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37254.

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There are a lot more roads being built periodically in most of the countries with the advancement of modern society. In order to promote the overall traffic flow quality within different cities, city traffic management has been playing a more and more essential role during the last few decades. In recent years, a significantly increasing attention has been paid to the management of traffic flow in major cities all over the world. In this thesis, we develop a stochastic dynamic model for urban traffic along with physical constraints characteristic of intersections equipped with traffic light

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Costa, Eliardo Guimarães da. "Aspectos estatísticos da amostragem de água de lastro." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-06052013-172123/.

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A água de lastro de navios é um dos principais agentes dispersivos de organismos nocivos à saúde humana e ao meio ambiente e normas internacionais exigem que a concentração desses organismos no tanque seja menor que um valor previamente especificado. Por limitações de tempo e custo, esse controle requer o uso de amostragem. Sob a hipótese de que a concentração desses organismos no tanque é homogênea, vários autores têm utilizado a distribuição Poisson para a tomada de decisão com base num teste de hipóteses. Como essa proposta é pouco realista, estendemos os resultados para casos em que a conc

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Fredette, Marc. "Prediction of recurrent events." Thesis, University of Waterloo, 2004. http://hdl.handle.net/10012/1142.

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In this thesis, we will study issues related to prediction problems and put an emphasis on those arising when recurrent events are involved. First we define the basic concepts of frequentist and Bayesian statistical prediction in the first chapter. In the second chapter, we study frequentist prediction intervals and their associated predictive distributions. We will then present an approach based on asymptotically uniform pivotals that is shown to dominate the plug-in approach under certain conditions. The following three chapters consider the prediction of recurrent events. The

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Yan, Tianqiang. "Nonhomogeneous Poisson Process Models with a Generalized Bathtub Intensity Function for Repairable Systems." Ohio University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1570450819037643.

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Chen, Zhao. "Bayesian and Empirical Bayes approaches to power law process and microarray analysis." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000430.

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Verssani, Bruna Aparecida Wruck. "Modelo de regressão para sistemas reparáveis: um estudo da confiabilidade de colhedoras de cana-de-açúcar." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-22012019-173525/.

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A análise de confiabilidade desempenha um papel fundamental para estudos de durabilidade e otimização de tempos de reparo em sistemas reparáveis. Equipamentos como colhedoras de cana-de-açúcar que após a falha e um reparo voltam a exercer sua função objetivo são classificados como sistemas reparáveis. O objetivo deste trabalho consistiu em propor alternativas de modelagem para sistemas complexos, que apresentam grande variabilidade no comportamento da função intensidade de falha. Foi proposta a nova distribuição odd log-logística Weibull flexível generalizada (GOLLFW) e um modelo de regressão

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Book chapters on the topic "Nonhomogeneous poisson processes"

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ACHCAR, J. A., D. K. DEY, and M. NIVERTHI. "A BAYESIAN APPROACH USING NONHOMOGENEOUS POISSON PROCESSES FOR SOFTWARE RELIABILITY MODELS." In Series on Quality, Reliability and Engineering Statistics. WORLD SCIENTIFIC, 1998. http://dx.doi.org/10.1142/9789812816580_0001.

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Conference papers on the topic "Nonhomogeneous poisson processes"

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Kuhl, Michael E., James R. Wilson, and Mary A. Johnson. "Estimation and simulation of nonhomogeneous Poisson processes having multiple periodicities." In the 27th conference. ACM Press, 1995. http://dx.doi.org/10.1145/224401.224640.

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Kuhl, Michael E., and Sun Ewe Lim. "Sensitivity analysis of simulation output to parameters of nonhomogeneous Poisson processes." In the 31st conference. ACM Press, 1999. http://dx.doi.org/10.1145/324138.324291.

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KIM, DAE KYUNG, IN-KWON YEO, and DONG HO PARK. "NONHOMOGENEOUS POISSON PROCESSES BASED ON BETA-MIXTURES IN SOFTWARE RELIABILITY MODELS." In Proceedings of the 2nd International Workshop (AIWARM 2006). WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812773760_0048.

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Kuhl, Michael E., Shalaka C. Deo, and James R. Wilson. "Smooth flexible models of nonhomogeneous poisson processes using one or more process realizations." In 2008 Winter Simulation Conference (WSC). IEEE, 2008. http://dx.doi.org/10.1109/wsc.2008.4736088.

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Okati, Niloofar, and Taneli Riihonen. "Modeling and Analysis of LEO Mega-Constellations as Nonhomogeneous Poisson Point Processes." In 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring). IEEE, 2021. http://dx.doi.org/10.1109/vtc2021-spring51267.2021.9448844.

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Skataric, Maja, and Eduardo Sontag. "Remarks on model-based estimation of nonhomogeneous Poisson processes and applications to biological systems." In 2014 European Control Conference (ECC). IEEE, 2014. http://dx.doi.org/10.1109/ecc.2014.6862379.

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Silva Artigas, Soiram Ernesto. "Stochastic modeling of lightning occurrence by Nonhomogeneous Poisson Process." In 2012 International Conference on Lightning Protection (ICLP). IEEE, 2012. http://dx.doi.org/10.1109/iclp.2012.6344400.

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Liu, P. "Nonhomogeneous Poisson process inference when there are missing counts." In International Conference on Quality, Reliability, Risk, Maintenance and Safety Engineering, edited by R. Rajneesh. WIT Press, 2015. http://dx.doi.org/10.2495/qr2mse140691.

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Abdullah, Syarif, Sidik Susilo, I. Wayan Mangku, Fajri Ikhsan, Shofiatul Ula, and Yazid Rukmayadi. "Algorithm for Generating Compound Poisson Process Which has Nonhomogeneous Poisson process and Exponential Distribution Components." In 1st International Multidisciplinary Conference on Education, Technology, and Engineering (IMCETE 2019). Atlantis Press, 2020. http://dx.doi.org/10.2991/assehr.k.200303.059.

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Chang, Chi-Chang, Chuen-Sheng Cheng, and Pei-Ran Sun. "Bayesian Inference of Time-Dependent Behavior with Nonhomogeneous Poisson Process." In 2009 Fifth International Joint Conference on INC, IMS and IDC. IEEE, 2009. http://dx.doi.org/10.1109/ncm.2009.270.

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Reports on the topic "Nonhomogeneous poisson processes"

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Fang, Zhaoben. Characterization of Nonhomogeneous Poisson Processes Via Moment Conditions. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada187151.

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