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Gotowe bibliografie tematyczne / Poisson-Distributed observations

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Gotowa bibliografia na temat „Poisson-Distributed observations”

Autor: Grafiati

Data publikacji: 5 października 2024

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Poisson-Distributed observations"

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Ades, M., P. E. Caines, and R. P. Malhame. "Stochastic optimal control under Poisson-distributed observations." IEEE Transactions on Automatic Control 45, no. 1 (2000): 3–13. http://dx.doi.org/10.1109/9.827351.

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Hakulinen, Timo, and Tadeusz Dyba. "Precision of incidence predictions based on poisson distributed observations." Statistics in Medicine 13, no. 15 (1994): 1513–23. http://dx.doi.org/10.1002/sim.4780131503.

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Sukmawati, Ni Wayan Liana, I. Putu Satria Adi Wiryawan, Made Sri Kumala Dewi Oka, Luh Gde Trishia Damayanti, Ni Luh Made Anggun Putri Maharani, and Mutiara Khairunisa. "Non Poisson Queue Data Analysis at KFC Jimbaran Regular Service." International Journal of Multidisciplinary Research and Growth Evaluation 5, no. 5 (2024): 704–9. http://dx.doi.org/10.54660/.ijmrge.2024.5.5.704-709.

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In providing services, it is not uncommon to be faced with a high level of customer arrival so that they have to wait their turn to get service. This waiting line is called a queue, one of which is non- poisson queue. An activity includes a non-poisson queue when the distribution of arrivals or services is non-poisson or exponentially distributed. This research focused on examining the cashier service queue at Kentucky Fried Chicken Fast Food Restaurant in Jimbaran, Bali. Data collection by direct observation was carried out for 4 hours 2 minutes. Service facilities in the system under study a

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Kirmani, S. N. U. A., and Jacek Wesołowski. "Time spent below a random threshold by a Poisson driven sequence of observations." Journal of Applied Probability 40, no. 3 (2003): 807–14. http://dx.doi.org/10.1239/jap/1059060907.

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The mean and the variance of the time S(t) spent by a system below a random threshold until t are obtained when the system level is modelled by the current value of a sequence of independent and identically distributed random variables appearing at the epochs of a nonhomogeneous Poisson process. In the case of the homogeneous Poisson process, the asymptotic distribution of S(t)/t as t → ∞ is derived.

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Kirmani, S. N. U. A., and Jacek Wesołowski. "Time spent below a random threshold by a Poisson driven sequence of observations." Journal of Applied Probability 40, no. 03 (2003): 807–14. http://dx.doi.org/10.1017/s0021900200019756.

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The mean and the variance of the time S(t) spent by a system below a random threshold until t are obtained when the system level is modelled by the current value of a sequence of independent and identically distributed random variables appearing at the epochs of a nonhomogeneous Poisson process. In the case of the homogeneous Poisson process, the asymptotic distribution of S(t)/t as t → ∞ is derived.

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Taylor, Greg. "EXISTENCE AND UNIQUENESS OF CHAIN LADDER SOLUTIONS." ASTIN Bulletin 47, no. 1 (2016): 1–41. http://dx.doi.org/10.1017/asb.2016.23.

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AbstractThe cross-classified chain ladder has a number of versions, depending on the distribution to which observations are subject. The simplest case is that of Poisson distributed observations, and then maximum likelihood estimates of parameters are explicit. Most other cases, however, including Bayesian chain ladder models, lead to implicit MAP (Bayesian) or MLE (non-Bayesian) solutions for these parameter estimates, raising questions as to their existence and uniqueness. The present paper investigates these questions in the case where observations are distributed according to some member o

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Li, Li. "The GLR Chart for Poisson Process with Individual Observations." Advanced Materials Research 542-543 (June 2012): 42–46. http://dx.doi.org/10.4028/www.scientific.net/amr.542-543.42.

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A GLR (generalized likelihood ratio) chart for Poisson distributed process with individual observations is proposed and the design procedure of the GLR chart is discussed. The performance of the GLR charts is compared to the exponentially weighted moving average (EWMA) chart and the GWMA chart. The numerical experiments show that the GLR chart has comparable performance as the other two charts. However, the GLR chart is much easier to design and implement since there are more design parameters in these two charts.

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Collings, Bruce J., and Barry H. Margolin. "Testing Goodness of Fit for the Poisson Assumption When Observations are Not Identically Distributed." Journal of the American Statistical Association 80, no. 390 (1985): 411–18. http://dx.doi.org/10.1080/01621459.1985.10478132.

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Bülow, Tanja, Ralf-Dieter Hilgers, and Nicole Heussen. "Confidence interval comparison: Precision of maximum likelihood estimates in LLOQ affected data." PLOS ONE 18, no. 11 (2023): e0293640. http://dx.doi.org/10.1371/journal.pone.0293640.

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When data is derived under a single or multiple lower limits of quantification (LLOQ), estimation of distribution parameters as well as precision of these estimates appear to be challenging, as the way to account for unquantifiable observations due to LLOQs needs particular attention. The aim of this investigation is to characterize the precision of censored sample maximum likelihood estimates of the mean for normal, exponential and Poisson distribution affected by one or two LLOQs using confidence intervals (CI). In a simulation study, asymptotic and bias-corrected accelerated bootstrap CIs f

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Lauderdale, Benjamin E. "Compound Poisson—Gamma Regression Models for Dollar Outcomes That Are Sometimes Zero." Political Analysis 20, no. 3 (2012): 387–99. http://dx.doi.org/10.1093/pan/mps018.

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Political scientists often study dollar-denominated outcomes that are zero for some observations. These zeros can arise because the data-generating process is granular: The observed outcome results from aggregation of a small number of discrete projects or grants, each of varying dollar size. This article describes the use of a compound distribution in which each observed outcome is the sum of a Poisson—distributed number of gamma distributed quantities, a special case of the Tweedie distribution. Regression models based on this distribution estimate loglinear marginal effects without either t

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Rozprawy doktorskie na temat "Poisson-Distributed observations"

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Dyba, Tadeusz. "Precision of cancer incidence predictions based on poisson distributed observations." Helsinki : University of Helsinki, 2000. http://ethesis.helsinki.fi/julkaisut/val/tilas/vk/dyba/.

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Iufereva, Olga. "Algorithmes de filtrage avec les observations distribuées par Poisson." Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. https://theses.hal.science/tel-04720020.

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La théorie du filtrage concerne essentiellement l’estimation optimale de l’état dans les systèmes stochastiques, surtout avec des mesures partielles et bruitées. Ce domaine, fortement lié à la théorie du contrôle, se concentre sur la synthèse d'estimateurs effectuant des calculs en temps réel pour minimiser l'erreur quadratique moyenne. La nécessité de telles estimations devient de plus en plus critique avec la prolifération de systèmes contrôlés par réseau, tels que les véhicules autonomes et les processus industriels complexes, où les processus d'observations sont soumis au caractère aléatoi

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Części książek na temat "Poisson-Distributed observations"

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Pahlajani, Chetan D., Indrajeet Yadav, Herbert G. Tanner, and Ioannis Poulakakis. "Decision-Making Accuracy for Sensor Networks with Inhomogeneous Poisson Observations." In Distributed Autonomous Robotic Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73008-0_13.

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Streszczenia konferencji na temat "Poisson-Distributed observations"

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Ralte, Vanlalruata, Amitalok J. Budkuley, and Stefano Rini. "Distributed Sampling for the Detection of Poisson Sources Under Observation Erasures." In 2024 IEEE International Symposium on Information Theory (ISIT). IEEE, 2024. http://dx.doi.org/10.1109/isit57864.2024.10619638.

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