Poisson regression is different from linear en logistic regression, because it uses a log transformed dependent variable. For rates, defined as numbers of events per person per time unit, Poisson...doi:10.1007/978-3-319-20600-4_21Ton J. Cleophas...
使用卜瓦松 (Poisson) 迴歸來分析船隻損壞率(廣義線性模型) 通用性線性模型可以用於適合卜瓦松 (Poisson) 迴歸來分析計數資料。例如,在其他位置1呈現並分析的資料集涉及由波浪造成的貨船損壞。事故計數可以依給定預測數值的 Poisson 率發生建模,且產生的模型可以幫助您判定哪種運輸類型更容易受到...
Regression analyses of counts and rates: Poisson, overdispersed Poisson, and negative binomial models. Psychol Bull ... Gardner,William,Mulvey,... - 《Psychological Bulletin》 被引量: 0发表: 1995年 Quasi-Poisson vs. negative binomial regression: how should we model overdispersed count data?
This paper studies a class of Poisson mixture models that includes covariates in rates. This model contains Poisson regression and independent Poisson mixtures as special cases. Estimation methods based on the EM and quasi-Newton algorithms, properties of these estimates, a model selection procedure, ...
Poisson-Based Regression Analysis of Aggregate Crime Rates This article introduces the use of regression models based on the Poissondistribution as a tool for resolving common problems in analyzing aggregatecrime r... DW Osgood - 《Journal of Quantitative Criminology》 被引量: 895发表: 2000年 The ...
Poisson regression is different from linear en logistic regression, because it uses a log transformed dependent variable. For rates, defined as numbers of events per person per time unit, Poisson regression is very sensitive and probably better than standard regression methods....
Frequently,statisticiansuse Poisson regression to analyze rates over a timeframe (counts/time). For example, you can use it to model the following count outcomes: Number of customer arrivals per hour. Number of website clicks per day.
This paper focuses on an extension of zero-inflated generalized Poisson (ZIGP) regression models for count data. We discuss generalized Poisson (GP) models where dispersion is modelled by an additional model parameter. Moreover, zero-inflated models in which overdispersion is assumed to be caused ...
Publication FHWA-RD-96-040. FHWA, U.S. Department of Transportation, 1996. Google Scholar16. Miaou, S.-P. Estimating Roadside Encroachment Rates with the Combined Strengths of Accident- and 展开 DOI: 10.1177/0361198106195000104 年份: 2006 ...
Count data consists of discrete non-negative integer values. Poisson regression model is one of the most popular model used to model count data. This model assumes that response variable has Poisson distribution. The purpose of this article is to assess distributional assumption of this model by ...