regression analysis/ robust Poisson regression modelcount data analysisPoisson modelparametric robust regression approachregression parameterslegitimate likelihood functionsfinite second momentslog link functionidentity link function/ A0250 Probability theory, stochastic processes, and statistics B0240Z Other topics ...
Robust designs for Poisson regression models,” Technometrics - McGree, Eccleston - 2011 () Citation Context ... results can be applied in steps 1 and 2 to a minimum-support D-optimal design. For step 1 algorithmic approaches (Woods et al., 2006) or theoretical results (Russell et al.,...
This study delves into the intricacies of addressing multicollinearity and outliers in Poisson regression modeling. Our examination encompasses a comprehensive survey of well-established methodologies, such as the ridge estimator and MT-estimator, and recent innovations like the enhanced ridge-type estimator...
Of the two methods, it is believed that the log-binomial regression yields more efficient estimators because it is maximum likelihood based, while the robust Poisson model may be less affected by outliers. Evidence to support the robustness of robust Poisson models in comparison with log-binomial ...
In this paper, the author proposes a modified Poisson regression a... Guangyong,Zou - 《American Journal of Epidemiology》 被引量: 4274发表: 2004年 A robust goodness‐of‐fit test statistic with application to ordinal regression models We propose a goodness-of-fit test statistic for linear ...
Few researchers have extended the method to some generalized linear models such as the Poisson, the zero-inflated negative binomial and inverse gaussian regression models21,22,23. However, it is sensitive to outliers in the y-direction. In this study, we propose a robust version of the Stein ...
R语言不全相同 r语言robust,泊松回归(Poissonregression)是以结局变量为计数结果时的一种回归分析。泊松回归在我们的生活中应用非常广泛,例如:1分钟内过马路人数,1天内火车站的旅客流动数,1天内的银行取钱人数,一周内的销售经营数据等等都可以使用泊松回归进行分析
泊松回归(Poisson regression)是以结局变量为计数结果时的一种回归分析。泊松回归在我们的生活中应用非常广泛,例如:1分钟内过马路人数,1天内火车站的旅客流动数,1天内的银行取钱人数,一周内的销售经营数据等等都可以使用泊松回归进行分析。 今天我们来说说怎么使用R语言进行泊松回归分析,需要使用到robust包和qcc包,先...
Models of this type include logistic and probit regression, Poisson regression, linear regression with known variance, and certain models for lifetime data. Specifically, let Y 1 , Y 2 , … , Y n , be n independent random variables drawn from the exponential family with density (or ...
Generalized linear models (GLMs) are widely used for data analysis; however, their maximum likelihood estimators can be sensitive to outliers. We propose new statistical models that allow robust inferences from the GLM class of models, including Poisson and binomial GLMs, and their extension to gene...