نتایج جستجو برای: bivariate poisson regression model

تعداد نتایج: 2352265  

Journal: :Behavior research methods 2009
Franz Faul Edgar Erdfelder Axel Buchner Albert-Georg Lang

G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent...

2015
Chi Zhang Guoliang Tian Xifen Huang

To model correlated bivariate count data with extra zero observations, this paper proposes two new bivariate zero-inflated generalized Poisson (ZIGP) distributions by incorporating a multiplicative factor (or dependency parameter) λ, named as Type I and Type II bivariate ZIGPλ distributions, respectively. The proposed distributions possess a flexible correlation structure and can be used to fit...

Journal: :Mathematical and Computer Modelling 2007
Kui Wang Kelvin K. W. Yau Andy H. Lee Geoffrey J. McLachlan

Two-component Poisson mixture regression is typically used to model heterogeneous count outcomes that arise from two underlying sub-populations. Furthermore, a random component can be incorporated into the linear predictor to account for the clustering data structure. However, when including random effects in both components of the mixture model, the two random effects are often assumed to be i...

Journal: :Computational Statistics & Data Analysis 1998

ژورنال: طلوع بهداشت یزد 2017
جهان آرایی, زهرا, عسکری شاهی, محسن, فلاح زاده, حسین, لطفی, محمد حسن,

Introduction: Different statistical methods can be used to analyze fertility data. When the response variable is discrete, Poisson model is applied. If the condition does not hold for the Poisson model, its generalized model will be applied. The goal of this study was to compare the efficiency of generalized Poisson regression model with the standard Poisson regression model in estimating the c...

Journal: :J. Multivariate Analysis 2016
Kimberly F. Sellers Darcy Steeg Morris Narayanaswamy Balakrishnan

The bivariate Poisson distribution is a popular distribution for modeling bivariate count data. Its basic assumptions and marginal equi-dispersion, however, may prove limiting in some contexts. To allow for data dispersion, we develop here a bivariate Conway–Maxwell–Poisson (COM–Poisson) distribution that includes the bivariate Poisson, bivariate Bernoulli, and bivariate geometric distributions...

In this paper, we introduce a new class of bivariate distributions by compounding the bivariate generalized exponential and power-series distributions. This new class contains the bivariate generalized exponential-Poisson, bivariate generalized exponential-logarithmic, bivariate generalized exponential-binomial and bivariate generalized exponential-negative binomial distributions as specia...

Journal: :iranian journal of public health 0
afshin almasi abbas rahimiforoushani mohammad reza eshraghian kazem mohammad yahya pasdar mohammad javad tar­rahi

background: the aim of this study was to assess the associations between nutrition and dental caries in permanent dentition among schoolchildren. methods: a cross-sectional survey was undertaken on 698 schoolchildren aged 10 to 12 yr from a random sample of primary schools in kermanshah, western iran, in 2014. the study was based on the data obtained from the questionnaire containing informatio...

The Liu estimator has consistently been demonstrated to be an attractive shrinkage method for reducing the effects of multicollinearity. The Poisson regression model is a well-known model in applications when the response variable consists of count data. However, it is known that multicollinearity negatively affects the variance of the maximum likelihood estimator (MLE) of the Poisson regressio...

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