Ahn, H. (1996b). Log-normal regression modeling through recursive partitioning. Comput. Stat. Data Anal., 21, 381-398.Log-Normal Regression Modeling through Recursive Partitioning - Ahn - 1996Ahn, H., 1996. 'Log-normal regression modeling through recursive partitioning', Computational Statistics ...
内容提示: Ma, Kockelman & Damien 1 A Multivariate Poisson-Lognormal Regression Model for Prediction of Crash Counts by Severity, using Bayesian Methods Jianming Ma, Ph.D., The University of Texas at Austin. 6.9 E. Cockrell Jr. Hall, Austin, TX 78712-1076, mjming@mail.utexas.edu Kara M...
astay in business 逗留在事务[translate] aA multivariate Poisson-lognormal regression model for prediction of crash counts by severity, using Bayesian methods 一个多维分布的泊松记录正常的回归模型为崩溃计数的预言由严肃,运用贝叶斯方法[translate]
A Multivariate Poisson-Lognormal Regression Model for Prediction of Crash Counts by Severit Numerous efforts have been devoted to investigating crash occurrence as related to roadway design features, environmental and traffic conditions. However, most of the research has relied on univariate count model....
logNormReg包的中文名字：logNormal线性回归包，版本0.5-0说明书 Package‘logNormReg’October13,2022 Type Package Title log Normal Linear Regression Version0.5-0 Date2021-11-08 Maintainer Vito M.R.Muggeo<***> Description Functions tofits simple linear regression models with log normal errors an...
Log-normal model formulation Log-normal regression is a location-scale model where Y, the logari- thm of follow-up time, is a linear function of factors, z, Y ¼ loge(t) ¼ s þ b z þ sW, and W is assumed to have a standard normal distri- bution. The log-normal survivor...
(2) hierarchical multivariate Poisson-lognormal regression analysis taking into account correlations amongst multiple dependent model response variables and effects... M Deublein,M Schubert,BT Adey,... - 《Accident Analysis & Prevention》 被引量: 81发表: 2012年 Bayesian inference for Poisson and ...
statistical analysis/ log-normal regression modelingregression modelrecursive partitioningfittingcensored survival databinary decision trees... H Ahn - 《Computational Statistics & Data Analysis》 被引量: 28发表: 1996年 Mapping quantitative trait loci from a single-tail sample of the phenotype distribution...
Gehan Wilcoxon 检验对早期事件给予更高的权重,所以该检验对两组间早期差异比较敏感;当事件时间服从log-normal分布时,该检验效能也较高;另外,该检验是accelerated failure time模型的特例 当两组生存曲线存在交叉时(hazards cross), 这些检验的power都会受到影响。
Oh, because my aim is to visualize in a violin plot each coefficient, and statistically compare each coefficient between different populations, and I can not do it unless I have more values than just one value... Or Am I wrong?