Results 11 to 20 of about 334,324 (301)
Over-Dispersed Age-Period-Cohort Models [PDF]
Journal of the American Statistical Association, 2018 SUMMARYWe consider inference and forecasting for aggregate data organised in a two-way table with age and cohort as indices, but without measures of exposure. This is modelled using a Poisson likelihood with an age-period-cohort structure for the mean while allowing for over-dispersion.
Harnau, Jonas, Nielsen, Bent
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TTCM-OFDM over dispersive fading channels [PDF]
VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026), 2002 Orthogonal frequency division multiplexing (OFDM) is proposed as a convenient digital modulation scheme to transmit data encoded by means of turbo trellis coded modulation (TTCM). The resulting transmission system is described and the advantages of using OFDM to transmit TTCM encoded data are highlighted.
PIAZZO, Lorenzo, L. Hanzo
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A Flexible Semi-Poisson Distribution with Applications to Insurance Claims and Biological Data
Mathematics, 2023 In this paper, a discrete one-parameter distribution called the semi-Poisson distribution is introduced, which is based on a set of non-negative integers. It is seen that this distribution captures over-dispersion and zero-inflation scenarios well. A few
Fatimah E. Almuhayfith +3 more
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Forecasting warranty claims considering dynamic over-dispersion [PDF]
International Journal of Production Economics, 2012 Forecasting warranty claims are vitally important for manufacturers in preparing their fiscal plans as well as in managing their inventory. One of the widely used forecasting models is the non-homogeneous Poisson process (NHPP), which assumes that the mean and the variance of the numbers of warranty claims at any given time interval are equal. However,
Akbarov, Artur, Wu, Shaomin
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The Poisson-generalised Lindley distribution and its applications [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2016 The Poisson distribution plays important role in count data analysis. However, the Poisson distribution cannot model some data with over-dispersion because of its property, equi-dispersion.
Weerinrada Wongrin, Winai Bodhisuwan
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Mathematics, 2023 Under-dispersed count data often appear in clinical trials, medical studies, demography, actuarial science, ecology, biology, industry and engineering.
Xun-Jian Li +4 more
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Discrimination between Some Over Dispersed Count Distributions
ASM Science Journal, 2021 The Poisson inverse Gaussian and generalized Poisson distributions are widely used in modelling overdispersed count data which are commonly found in healthcare, insurance, engineering, econometric and ecology. The inverse trinomial distribution is a relatively new count distribution arising from a one-dimensional random walk model (Shimizu & ...
Yook-Ngor Phang +2 more
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Statistical models for over-dispersion in the frequency of peaks over threshold data for a flow series. [PDF]
, 2010 In a peaks over threshold analysis of a series of river flows, a sufficiently high threshold is used to extract the peaks of independent flood events. This paper reviews existing, and proposes new, statistical models for both the annual counts of such ...
Breslow +34 more
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Modelling Baryon Acoustic Oscillations with Perturbation Theory and Stochastic Halo Biasing [PDF]
, 2013 In this work we investigate the generation of mock halo catalogues based on perturbation theory and nonlinear stochastic biasing with the novel PATCHY-code.
Kitaura, Francisco-Shu +2 more
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Evaluating the effects of road geometry, environment, and traffic volume on rollover crashes
Transport, 2016 There are a number of factors that cause motor vehicles to rollover. However, the impacts of roadway characteristics on rollover crashes have rarely been addressed in the literature.
Mehdi Hosseinpour +4 more
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