GENERALIZED COMPLEX GEOMETRY AND THE POISSON SIGMA MODEL [PDF]
Modern Physics Letters A, 2005 The supersymmetric Poisson Sigma model is studied as a possible worldsheet realization of generalized complex geometry. Generalized complex structures alone do not guarantee non-manifest N = (2, 1) or N = (2, 2) supersymmetry, but a certain relation among the different Poisson structures is needed. Moreover, important relations of an additional almost
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A spline function method for modelling and generating a nonhomogeneous poisson process [PDF]
Journal of Simulation, 2023 This paper presents a spline-based input modelling method for inferring the rate function of a nonhomogeneous Poisson process (NHPP) given arrival-time observations and a simple method for generating arrivals from the resulting rate function. Splines are a natural choice for modelling rate functions as they are smooth by construction, and highly ...
Lucy E. Morgan +3 more
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Bayesian Estimation of Parameters Correlation of Bivariate Poisson Distribution [PDF]
فصلنامه پژوهشهای اقتصادی ایران, 2016 In this study, based on Bayesian Generalized Linear Models, correlation between the parameters of two Poisson distributions was computed. Due to lack of the closed form for posterior distribution, hierarchical Bayesian statistics using the Metropolis ...
Farzad Eskandari
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Model Generalized Poisson Regression (GPR) Pada Kasus Stunting Di Provinsi Nusa Tenggara Timur
Jurnal Diferensial, 2023 Stunting is a child development disorder due to chronic malnutrition and recurrent infections characterized by a height below average. The purpose of this study was to determine the Generalized Poisson Regression (GPR) model in stunting cases in East ...
Maria Febriana Lais +3 more
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On Periodic Generalized Poisson INGARCH Models
The 1st International Online Conference on Mathematics and Applications, 2023 This article discusses the class of Periodic Generalized Poisson Integer-Valued Generalized Autoregressive Conditional Heteroscedastic PGPINGARCH models. The model, in addition to properly capture the periodic feature in the autocovariance structure, encompasses different types of dispersions, with this conditional marginal distribution.
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PENANGANAN OVERDISPERSI PADA MODEL REGRESI POISSON MENGGUNAKAN MODEL REGRESI BINOMIAL NEGATIF
Media Statistika, 2011 Poisson regression is the most popular tool for modeling the relationship between a discrete data in the response variable and a set of predictors with continue, discrete, categoric or mix data.
Rio Tongaril Simarmata, Dwi Ispriyanti
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The generalized Poisson distribution and a model of clustering from Poisson initial conditions [PDF]
Monthly Notices of the Royal Astronomical Society, 1998 This paper presents a new derivation of the Generalized Poisson distribution. This distribution provides a good fit to the evolved, counts-in-cells distribution measured in numerical simulations of hierarchical clustering from Poisson initial conditions. This new derivation can be used to construct a useful analytic model of the evolution of clustering
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Testing for zero-modification in count regression models [PDF]
, 2006 Count data often exhibit overdispersion and/or require an adjustment for zero outcomes with respect to a Poisson model. Zero-modified Poisson (ZMP) and zero-modified generalized Poisson (ZMGP) regression models are useful classes of models for such ...
Min, Aleksey, Czado, Claudia
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Modelling Negative Binomial as a substitute model to Poisson for raters agreement on ordinal scales with sparse data [PDF]
, 2004 The Poisson distribution has been widely used for modelling rater agreement using loglinear models. Mostly in all life or social science researches, subjects are being classified into categories by rater, interviewers or observers and most of these ...
Toutenburg, Helge +2 more
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Estimasi Parameter Model Generalized Poisson Regression Jumlah Kematian Ibu di Jawa Timur yang Mengalami Overdispersi [PDF]
, 2015 Overdispersi terjadi apabila nilai varian pada respon lebih besar daripada mean dan overdispersi pada model regresi Poisson mengakibatkan estimasi parameter menjadi bias.
Ika Ramadhan Wulandari, NIM. 101111074 +1 more
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