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Showing 1 to 20 of 66 for “"Poisson Distribution"”.

  1. Generalized Modified Weibull Poisson Distribution with Applications to Lifetime Data

    Towa, Toussaint2019

    <p>In this thesis, a generalized modified Weibull distribution called the exponentiated modified Weibull Poisson (EMWP) distribution as well as related sub-distributions are proposed. Series expansion of the densities are obtained. Statistical properties of these classes of distributions, including …

    gsu Repository record

  2. Poisson Distribution based algorithm to reduce grid harmonics caused by EV chargers

    Sapkota, YadunathUniversity of Ontario Institute of Technology2023

    … the Mean and Variance values of the Cumulative Poisson Distribution. This methodology is implemented using MATLAB Simulink platform and the performance is validated. The techniques have demonstrated a 30% improvement in the power quality of the grid voltage.

    uoit Repository record

  3. Bivariate Doubly Inflated Poisson and Related Regression Models

    Sengupta, Pooja2019

    … appropriate model for such data is the bivariate Poisson distribution given in Kocherlakota and Kocherlakota (2001). However, in situations where inflated count of (0, 0) occur, Lee et al. (2009) proposed the zero-inflated bivariate Poisson distribution which accounts for the inflated count. In …

    odu Repository record

  4. Variable sampling intervals for control charts using count data

    Shobe, Kristin N.Virginia Polytechnic Institute and State University1988

    … properties for charts with an underlying normal distribution. These properties are extended in this thesis to accommodate an underlying Poisson distribution.

    vt Repository record

  5. Socialization-related learning, job satisfaction, and commitment for new employees in a federal agency

    Morton, Shirley T.Virginia Tech1993

    … of the parameters from underlying discrete distributions is studied for the case of grouped random samples. It is shown that when the underlying distribution is Poisson the process always converges and does so regardless of the initial values taken for the unknown parameter. In showing this, …

    vt Repository record

  6. Groupings in item demand problems

    Carter, WalterVirginia Tech1968

    … of the parameters from underlying discrete distributions is studied for the case of grouped random samples. It is shown that when the underlying distribution is Poisson the process always converges and does so regardless of the initial values taken for the unknown parameter. In showing this, …

    vt Repository record

  7. Bayesian Hierarchical Frailty Models for Heterogeneity in Risk

    Coley, Rebecca Yates2014

    … of heterogeneity. We focus on the compound Poisson distribution, as it reflects a biological risk mechanism seen in many applications where an individual's risk of an event is the result of independent, competing exposure processes and it allows that some individuals have no risk of an …

    washington Repository record

  8. REGULARIZATION PARAMETER SELECTION METHODS FOR ILL POSED POISSON IMAGING PROBLEMS

    Goldes, John

    … the data-noise is accurately modeled by a Poisson distribution, which motivates the use of Poisson maximum likelihood estimation. When the underlying model equation is ill-posed, regularization must be employed. I will present a computational framework for solving such problems, including …

    montana-tech Repository record

  9. REGULARIZATION PARAMETER SELECTION METHODS FOR ILL POSED POISSON IMAGING PROBLEMS

    Goldes, John

    … the data-noise is accurately modeled by a Poisson distribution, which motivates the use of Poisson maximum likelihood estimation. When the underlying model equation is ill-posed, regularization must be employed. I will present a computational framework for solving such problems, including …

    montana Repository record

  10. Extended Poisson Models for Count Data With Inflated Frequencies

    Arora, Monika2018

    … papers in the literature that show how to fit Poisson regression models that account for the zero inflation. However, in many situations the frequencies of zero and of some other value <em>k</em> tends to be higher than the Poisson model can fit appropriately. Recently, Sheth-Chandra (2011), …

    odu Repository record

  11. ΠΟΛΥΔΙΑΣΤΑΤΕΣ ΚΑΤΑΝΟΜΕΣ Κ-ΤΑΞΗΣ

    Antzoulakos, Demetrios, Αντζουλάκος, ΔημήτριοςΠανεπιστήμιο Πατρών1990

    WE DERIVE A MULTIVARIATE NEGATIVE BINOMIAL DISTRIBUTION OF ORDER K BY MEANS OF AN URN SCHEME AND WE OBTAIN TWO LIMITING CASES OF IT WHICH PROVIDE A MULTIVARIATE POISSON DISTRIBUTION OF ORDER K AND A MULTIVARIATE LOGARITHMIC SERIES DISTRIBUTION OF THE SAME ORDER. WE DEFINE THE GENERALIZED SEQUENCE …

    greece Repository record

  12. Bayesian approaches to problems in diagnostic testing and underreported count data.

    Roberman, Jamie L., 1997-Baylor University.2024

    … the last chapter extends a zero-inflated Poisson distribution accounting for underreporting into the Bayesian paradigm. We analyze this Bayesian model in multiple simulation studies. When underreporting is inaccurately estimated, model parameter estimation can be biased. Placing a prior on …

    baylor Repository record

  13. Coupling in SPDEs and spectral analysis of heavy-tailed random operators

    Han, YiUniversity of Cambridge2024

    … result in the light-tailed regime, and the distribution of the top eigenvalues in the heavy-tailed regime, under various tail assumptions on the random potential and the rate of downward scaling. In the third part, the author considers Wigner matrices, randomly weighted regular graphs and …

    cambridge Repository record

  14. Sensor Networks: Studies on the Variance of Estimation, Improving Event/Anomaly Detection, and Sensor Reduction Techniques Using Probabilistic Models

    Chin, Philip AllenVirginia Tech2012

    … aggregated point sensor data using a parametric Poisson distribution data model, 3) a sensor reduction or placement technique using Bellman optimal estimates of target agent dynamics and probabilistic training data (Goode, Chin, & Roan, 2011), and 4) transforming event monitoring point sensor …

    vt Repository record

  15. Examining the accuracy of the normal approximation to the poisson random variable

    Rich, Wesley Jacob

    <p>Because the Poisson distribution is discrete, it is sometimes useful to use the continuous normal distribution as an approximation. In doing so, determining the accuracy of the approximation is important. Some issues of interest include: knowing how the error depends on the Poisson parameter, …

    emich Repository record

  16. Creation and Simulation of a Model for a Discrete Time Buffer System with Interrupted Poisson Arrivals and Uncorrelated Server Interruptions

    Naegele-Jackson, Susanne

    … packets arrive at the buffer according to a Poisson distribution and are stored there until they can be transmitted over the output channel. Service times are constant and the buffer is assumed to be of infinite size. Both arrival stream as well as the service of the packets are subjected to …

    wku-diss Repository record

  17. Gluon radiation beyond Poisson using MHV techniques

    Rasoanaivo, Andriniaina NarindraDepartment of Physics2018

    … photon emissions current to reproduce the Poisson distribution of photon radiated from a high energetic quark. Then we derive the equivalent current for the case of multiple gluon emissions in vacuum. We then use the previous result to compute the two gluon correlation. We also study the …

    cape-town Repository record

  18. Spatial Ecology of the Spotted Salamander <em>Ambystoma maculatum</em> During the Nonbreeding Season.

    Ledford, Dale Patrick2011

    … information on fine scale patterns. Studies of distribution around vernal pool environments have brought increased attention to their terrestrial ecology. To this end I tracked a sample of Passive Integrated Transponder (PIT) tagged animals with a Radio Frequency Identification Device (RFID). …

    etsu Repository record

  19. A Limit Theorem in Cryptography.

    Lynch, Kevin2005

    … property. According to Hawkes and O'Connor, the distribution of Λ<sub>π</sub>(Δ<em>x</em>, Δ<em>y</em>) tends to a Poisson distribution with parameter ½ as <em>m</em> → ∞ for all Δ<em>x</em>,Δ<em>y</em> ∈ (<b>Z</b>/<em>q</em><b>Z</b>)<sup><em>m</em></sup> - 0. We give a proof of this theorem …

    etsu Repository record

  20. A Piecewise Linear Generalized Poisson Regression Approach to Modeling Longitudinal Frequency Data

    Borgesi, Jennifer2018

    … data. We present a piecewise-linear, generalized Poisson regression model for longitudinal frequency data. Based on the generalized Poisson distribution, this model is flexible enough to allow for (and detect) underdispersion, equidispersion, or overdispersion in the data. We apply this model to …

    duquesne Repository record

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