Relevant bibliographies by topics / Nonhomogenous poisson process

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'Nonhomogenous poisson process'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Nonhomogenous poisson process"

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Chin-Yu Huang, M. R. Lyu, and Sy-Yen Kuo. "A unified scheme of some nonhomogenous poisson process models for software reliability estimation." IEEE Transactions on Software Engineering 29, no. 3 (2003): 261–69. http://dx.doi.org/10.1109/tse.2003.1183936.

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Erhua, Ye, and Hua Jiukun. "Multivariate survival distributions of age and residual lifetime processes in nonhomogenous poisson process." Applied Mathematics-A Journal of Chinese Universities 8, no. 2 (1993): 198–210. http://dx.doi.org/10.1007/bf02662003.

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Korzeniowski, Andrzej, and Rachel Traylor. "Dynamic Reliability of a Cluster Server." International Journal of Statistics and Probability 5, no. 4 (2016): 45. http://dx.doi.org/10.5539/ijsp.v5n4p45.

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Suppose a single server has $K$ channels, each of which performs a different task. Customers arrive to the server via a nonhomogenous Poisson process with intensity $\lambda(t)$ and select $0$ to $K$ tasks for the server to perform. Each channel services the tasks in its queue independently, and the customer's job is complete when the last task selected is complete. The stress to the server is a constant multiple $\eta$ of the number of tasks selected by each customer, and thus the stress added to the server by each customer is random. Under this model, we provide the survival function for suc
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Maillardet, R. J., and P. G. Taylor. "Queues with advanced reservations: an infinite-server proxy for the bookings diary." Advances in Applied Probability 48, no. 1 (2016): 13–31. http://dx.doi.org/10.1017/apr.2015.4.

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Abstract Queues with advanced reservations are endemic in the real world. In such a queue, the 'arrival' process is an incoming stream of customer 'booking requests', rather than actual customers requiring immediate service. We consider a model with a Poisson booking request process with rate λ. Associated with each request is a pair of independent random variables (Ri, Si) constituting a request for service over a period Si, starting at a time Ri into the future. Our interest is in the probability that a customer will be rejected due to capacity constraints. We present a simulation of a finit
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Leonenko, Nikolai, Enrico Scalas, and Mailan Trinh. "Limit theorems for the fractional nonhomogeneous Poisson process." Journal of Applied Probability 56, no. 01 (2019): 246–64. http://dx.doi.org/10.1017/jpr.2019.16.

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AbstractThe fractional nonhomogeneous Poisson process was introduced by a time change of the nonhomogeneous Poisson process with the inverse α-stable subordinator. We propose a similar definition for the (nonhomogeneous) fractional compound Poisson process. We give both finite-dimensional and functional limit theorems for the fractional nonhomogeneous Poisson process and the fractional compound Poisson process. The results are derived by using martingale methods, regular variation properties and Anscombe’s theorem. Eventually, some of the limit results are verified in a Monte Carlo simulation.
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Slimacek, Vaclav, and Bo Henry Lindqvist. "Nonhomogeneous Poisson process with nonparametric frailty." Reliability Engineering & System Safety 149 (May 2016): 14–23. http://dx.doi.org/10.1016/j.ress.2015.12.005.

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Morales, Fidel Ernesto Castro, Lorena Vicini, Luiz K. Hotta, and Jorge A. Achcar. "A nonhomogeneous Poisson process geostatistical model." Stochastic Environmental Research and Risk Assessment 31, no. 2 (2016): 493–507. http://dx.doi.org/10.1007/s00477-016-1275-x.

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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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López De La Cruz, J., S. P. Kuniewski, J. M. Van Noortwijk, and M. A. Gutiérrez. "Spatial Nonhomogeneous Poisson Process in Corrosion Management." Journal of The Electrochemical Society 155, no. 8 (2008): C396. http://dx.doi.org/10.1149/1.2926543.

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Abdullah, S., F. Ikhsan, S. Ula, and Y. Rukmayadi. "Thinning process algorithms for compound poisson process having nonhomogeneous poisson process (NHPP) intensity functions." IOP Conference Series: Materials Science and Engineering 673 (December 10, 2019): 012062. http://dx.doi.org/10.1088/1757-899x/673/1/012062.

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Dissertations / Theses on the topic "Nonhomogenous poisson process"

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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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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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Jean, Jacinte. "Inference in nonhomogeneous Poisson process models, with applications to software reliability." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape9/PQDD_0016/NQ38246.pdf.

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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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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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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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Junior, Marcos Antonio Coque. "Modelo de confiabilidade para sistemas reparáveis considerando diferentes condições de manutenção preventiva imperfeita." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/3/3151/tde-26012017-093004/.

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Um sistema reparável opera sob uma estratégia de manutenção que exige ações de recuperação preventiva em tempos pré-definidos e ações de reparo quando ocorre a perda de função do sistema. A manutenção preventiva (MP) é programada periodicamente e muitas vezes possui um intervalo de tempo fixo para ações. No entanto, as atividades de MP podem não restaurar o sistema para uma condição similar ao início de vida deste, mas para uma situação intermediária. Nesse caso, a MP é denominada de imperfeita. Além disso, ao longo da vida do sistema, são executados diferentes planos de manutenção com condiçõ
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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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CHEN, GUANG-HUA, and 陳光華. "Nonhomogeneous poisson process debugging models with linear dependency." Thesis, 1990. http://ndltd.ncl.edu.tw/handle/23019069776203313125.

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Hwang, Yi Ting, and 黃怡婷. "A study of nonhomogeneous Poisson process and record value." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/86906220795856705267.

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碩士<br>國立中山大學<br>應用數學研究所<br>81<br>In this thesis we discuss some characterizations related to nonhomogeneous Poisson process and record values. Let {N(t), t .gtoreq 0} be a nonhomogeneous Poisson process with {S_n, n .gtoreq 1} being the sequence of arrival times, .gamma_t and .delta_t being the residual life and current life at t, respectively. Using some properties related to {S_n,n .gtoreq 1},.gamma_t or .delta_t, we characterize the homogeneous Poisson process among the class of nonhomog
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Book chapters on the topic "Nonhomogenous poisson process"

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Zou, Hongcheng, Gang Zhou, and Yaoyi Xi. "Research on Modeling Microblog Posts Scale Based on Nonhomogeneous Poisson Process." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24273-1_14.

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Kundu, Subrata, Tapan K. Nayak, and Sudip Bose. "Are Nonhomogeneous Poisson Process Models Preferable to General-Order Statistics Models for Software Reliability Estimation?" In Statistical Models and Methods for Biomedical and Technical Systems. Birkhäuser Boston, 2008. http://dx.doi.org/10.1007/978-0-8176-4619-6_11.

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"Nonhomogeneous Poisson Process (NHPP) Models." In Software Reliability Modelling. WORLD SCIENTIFIC, 1991. http://dx.doi.org/10.1142/9789814343091_0004.

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Basu, Asit P., and Steven E. Rigdon. "Ch. 2. The weibull nonhomogeneous poisson process." In Handbook of Statistics. Elsevier, 2001. http://dx.doi.org/10.1016/s0169-7161(01)20004-2.

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"A nonhomogeneous Poisson process for software reliability." In World Congress of Nonlinear Analysts '92. De Gruyter, 1996. http://dx.doi.org/10.1515/9783110883237.2837.

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Härtler, Gisela. "The Power Type Nonhomogeneous Poisson Process : Tests and Estimation." In Reliability ’91. Chapman and Hall/CRC, 2018. http://dx.doi.org/10.1201/9781351076333-36.

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Conference papers on the topic "Nonhomogenous poisson process"

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Wu, Gang, Chongzhao Han, and Xiaoxi Yan. "The derivation of multiple extended object intensity filter based on nonhomogenous poisson process." In 2014 International Conference on Information Science, Electronics and Electrical Engineering (ISEEE). IEEE, 2014. http://dx.doi.org/10.1109/infoseee.2014.6948158.

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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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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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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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Morgan, Lucy E., Barry L. Nelson, Andrew C. Titman, and David J. Worthington. "A Spline-Based Method for Modelling and Generating A Nonhomogeneous Poisson Process." In 2019 Winter Simulation Conference (WSC). IEEE, 2019. http://dx.doi.org/10.1109/wsc40007.2019.9004867.

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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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Ao, Liang, and Qihua Wang. "Weighted Least Square Estimate Method for Parameters of a Nonhomogeneous Poisson Process with Grouped Data." In 2010 International Conference on System Science, Engineering Design and Manufacturing Informatization (ICSEM). IEEE, 2010. http://dx.doi.org/10.1109/icsem.2010.117.

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Reports on the topic "Nonhomogenous poisson process"

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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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