Showing 301 - 320 results of 1,090 for search '"Poisson distribution"', query time: 0.40s Refine Results
  1. 301

    Statistical methods for discovery sampling. by Koh, Kristine Ai Ping., Ong, Soo Ling., Teo, Lay Chin.

    Published 2008
    “…It also highlights the various probability distributions that are used in fixed sample size discovery sampling, including the hypergeometric, binomial and poisson distribution. The project also discusses the use of sequential sampling approach in discovery sampling and concludes with a recommendation of the most appropriate statistical method.…”
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    Final Year Project (FYP)
  2. 302

    Some Continuous Neutrosophic Distributions with Neutrosophic Parameters Based on Neutrosophic Random Variables by Carlos Granados, Ajoy Kanti Das, Birojit Das

    Published 2022-05-01
    “…In this paper, we apply continuous distributions such as the exponential distribution, gamma distribution, beta distribution and uniform distribution and discontinuous random distribution such as Poisson distribution by using neutrosophic random variables. …”
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    Article
  3. 303

    Comparative analysis on sudden ionospheric disturbance by V.I. Nesterov

    Published 2018-01-01
    “…It is shown that the phase deviation of the received signal obeys the Poisson distribution. It is necessary to take into account the seasonal variations of the electron density.…”
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    Article
  4. 304

    PROSES ANTRIAN DENGAN KEDATANGAN BERDISTRIBUSI POISSON DAN POLA PELAYANAN BERDISTRIBUSI GENERAL by Sugito Sugito, Abdul Hoyyi

    Published 2013-06-01
    “…In this paper we will discuss the process in queuing with the arrival of the Poisson distribution and the general pattern of service distribution   Keywords : Queuing,  Arrival Distribution, Service Distribution…”
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    Article
  5. 305

    Modeling Sage data with a truncated gamma-Poisson model by Zwinderman Aeilko H, Thygesen Helene H

    Published 2006-03-01
    “…This means that part of the variance in SAGE data should be understood as the sampling error in a binomial or Poisson distribution, whereas other variance sources, in particular biological variance, should be modeled using a continuous distribution function, i.e. a prior on the intensity of the Poisson distribution. …”
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    Article
  6. 306

    Estimation of excess hazard using compound Poisson frailty model by Mahmood Sheikh-Fathollahi, Mahmood Mahmoodi, Kazem Mohammad, Hojjat Zeraati, Arash Jalali

    Published 2015-10-01
    “…Therefore, the aim of this study was to estimate the excess hazard using compound poisson frailty model Methods  &  Materials:  Both  shared  and  correlated  frailty  (CF)  variables based  on  compound Poisson distribution  were used to model  unobserved common  covariates.  …”
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    Article
  7. 307

    Using Probabilistic Models for Data Compression by Iuliana Iatan, Mihăiţă Drăgan, Silvia Dedu, Vasile Preda

    Published 2022-10-01
    “…Our research objective is to improve the Huffman coding efficiency by adjusting the data using a Poisson distribution, which avoids the undefined entropies too. …”
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    Article
  8. 308

    Applicability of Zero-Inflated Models to Fit the Torrential Rainfall Count Data with Extra Zeros in South Korea by Cheol-Eung Lee, Sang Ug Kim

    Published 2017-02-01
    “…Generally, the number of torrential rainfall occurrences has been analyzed using the Poisson distribution (POI) or the Generalized Poisson Distribution (GPD). …”
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    Article
  9. 309

    Population kinetics during simultaneous infection of insect cells with two different recombinant baculoviruses for the production of rotavirus-like particles by Palomares Laura A, Ramírez Octavio T, Mena Jimmy A

    Published 2007-07-01
    “…Only cultures with a total MOI below 5 pfu/cell followed the Poisson distribution. For cultures with a MOI of bacGFPVP2 above that of bacVP6 (overall MOI above 5 pfu/cell), the total population expressing one or both recombinant proteins was as low as 50% below that predicted by Poisson. …”
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    Article
  10. 310

    Multidimensional rare event probability estimation algorithm by Leonidas Sakalauskas, Ingrida Vaičiulytė

    Published 2013-09-01
    “…Logits of rare event likelihood we are modeling with Poisson distribution, which parameters are distributed by multivariate normal law with unknown parameters – mean vector and covariance matrix. …”
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    Article
  11. 311

    Approximations of the ruin probability in a discrete time risk model by David J. Santana, Luis Rincón

    Published 2020-08-01
    “…The result is then extended for claims with a mixed Poisson distribution. The formula obtained allows for some approximation procedures. …”
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    Article
  12. 312

    On an Extension of the Exponential and Weibull Distributions by Salih Çelebioğlu

    Published 2010-06-01
    “…Abstract: In this study, the Poisson distribution is used to add a new parameter to the exponential and Weibull distributions, and some results on survival distributions of the new extended distributions are given. …”
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    Article
  13. 313

    GEEQBOX: A MATLAB Toolbox for Generalized Estimating Equations and Quasi-Least Squares by Sarah J. Ratcliffe, Justine Shults

    Published 2008-03-01
    “…GEEQBOX is currently able to handle correlated data that follows a normal, Bernoulli or Poisson distribution, and that is assumed to have an AR(1), Markov, tri-diagonal, equicorrelated, unstructured or working independence correlation structure. …”
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    Article
  14. 314

    Random Graphs from a Minor-Closed Class. by McDiarmid, C

    Published 2009
    “…We see that such a class A of labelled graphs has smooth growth; and, for the random graph R n sampled uniformly from the n-vertex graphs in A, the fragment not in the giant component asymptotically has a simple 'Boltzmann Poisson distribution'. In particular, as n → ∞ the probability that R n is connected tends to 1/A(ρ), where A(x) is the exponential generating function for A and ρ is its radius of convergence. © 2009 Cambridge University Press.…”
    Journal article
  15. 315

    Characterization of the emergent properties of a synthetic quasi-cellular system by Lazzerini-Ospri Lorenzo, Stano Pasquale, Luisi PierLuigi, Marangoni Roberto

    Published 2012-03-01
    “…</p> <p>Conclusions</p> <p>Our simulation clearly shows that the wet-lab measurement of an effective protein synthesis at smaller volumes than 10<sup>-17 </sup>L would rule out, according to our models, a Poisson distribution of solutes.</p>…”
    Article
  16. 316

    Application of a Negative Multinomial Model Gives Insight into Rarity-Area Relationships by Youhua Chen, Yongbin Wu, Weihua Chen, Tian Zhao, Wenyan Zhang, Tsung-Jen Shen

    Published 2020-05-01
    “…However, this correlation cannot be modelled using a totally independent and random distribution such as the Poisson distribution. In this study, we utilized the negative multinomial distribution to overcome the problem encountered by the commonly used Poisson distribution and used it to derive insight into the implications of field sampling for rare species’ distributions. …”
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    Article
  17. 317

    A probabilistic estimation model for seismic physical portfolio loss of a water supply pipeline system by Samantha Louise N. Jarder, Osamu Maruyama, Lessandro Estelito O. Garciano

    Published 2024-03-01
    “…The proposed model was compared to the numerical simulation data with the correlated Poisson distribution. The application of the Normal To Anything (NORTA) obtained correlations for Poisson Distributions. …”
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    Article
  18. 318

    Modelos de predição para sobrevivência de plantas de Eucalyptus grandis Prediction models of Eucalyptus grandis plant survival by Telde Natel Custódio, Décio Barbin

    Published 2009-01-01
    “…It was possible to conclude that: the generalized linear mixed model with Poisson distribution and logarithmic link function misadjusted to the data; the estimates for the fixed effects and prediction for the random effects did not differ among the to other studied models.…”
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    Article
  19. 319

    The sample size effect in metallic glass deformation by Yannick Champion, Nicolas Thurieau

    Published 2020-07-01
    “…A thermodynamic description of the local rearrangement zones activated under an applied stress is proposed. Using the Poisson distribution to describe the statistics of these zones and the statistical physics to associate entropy, we define a critical sample size for the change in the deformation mode. …”
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    Article
  20. 320

    Statistical detection and modeling of the over-dispersion of winter storm occurrence by M. Raschke

    Published 2015-08-01
    “…For this purpose, the generalized Poisson distribution and the Bayesian information criterion are introduced; the latter is used for statistical model selection. …”
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    Article