Results 131 to 140 of about 170,115 (204)

Poisson Sampling Distribution Generator

This page, created by Richard Lowry of Vassar College, generates a Poisson distribution, as approximated by the binomial. After clicking continue, users must enter the sample size (n>39) and probability of success (between 0.0 and 0.2, inclusive). A
Lowry, Richard
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Independent Candidates in a Parliamentary Election in India: A Poisson Regression Model

The paper attempts to explain the number of independent candidates in Indian parliamentary election in the year 2004. The statistical models developed are applications and generalizations of Poisson and Negative Binomial distributions.
Bhattacharya, Kaushik
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Bias reduction for low-statistics PET: maximum likelihood reconstruction with a modified Poisson distribution. [PDF]

IEEE Trans Med Imaging, 2015
Van Slambrouck K, Stute S, Comtat C, Sibomana M, van Velden FH, Boellaard R, Nuyts J.   +6 more
europepmc   +1 more source

Unjustified Poisson assumptions lead to overconfident estimates of the effective reproductive number. [PDF]

Epidemiol Infect
Němcová B, Goldstein IH, Sebastian J, Minin VM, Bracher J.   +4 more
europepmc   +1 more source

Estimating marginal effects with zero-inflated models: A tutorial with the R package mzim. [PDF]

Behav Res Methods
Li C, Kwok OM, Lawrence T.
europepmc   +1 more source

Rethinking viral evolution: How BIAS mechanisms and Gamma-Poisson overdispersion redefine lethal mutagenesis. [PDF]

Front Microbiol
Wang D, Zhang X, Chang Q.
europepmc   +1 more source

From Expected Goals to Scoring at Least Once: An Event-Specific Summary of Aggregated Bernoulli Risk. [PDF]

Entropy (Basel)
Górecki T.
europepmc   +1 more source

Spatiotemporal Modeling Approach to Mapping Geographic and Temporal Variation in Cancer Incidence Rates for US Counties. [PDF]

Cancer Epidemiol Biomarkers Prev
Liu B, Wang Z, Feuer EJ, Tatalovich Z, Cucinelli J, Lyman J, Sherman RL, Zhu L.   +7 more
europepmc   +1 more source

Laplace Transform-Based Nonparametric Test of Exponentiality against DMRL class with preservation under the Homogeneous Poisson Shock Model and applications in survival analysis and reliability. [PDF]

PLoS One
El-Atfy ES, Gadallah AM, Alsahangiti AM, Balogun OS, Alam FMA, Bakr ME.   +5 more
europepmc   +1 more source

Marginal regression models for clustered count data based on zero-inflated Conway-Maxwell-Poisson distribution with applications. [PDF]

Biometrics, 2016
Choo-Wosoba H, Levy SM, Datta S.
europepmc   +1 more source