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 ...
Approximate confidence intervals are given for the lognormal regression problem. The error in the nominal level can be reduced to O(n 2), where n is the sample size. An alternative procedure is given which avoids the non-robust assumption of lognormality. This amounts to finding a confidence...
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]
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...
regression and log-normal regression find out the significant factors that affect mortgage prepayment risk The research result shows the amount of money of the borrowed money,price,housing condition,educational level,marriage condition,guarantor,loan to value ratio and job have significant impact on ...
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...
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....
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...
Log-normal regression modeling through recursive partitioning 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 loc...
In terms of cellular fraction estimation, both MuSiC and CIBERSORTx outperformed the standard linear regression methods, though they are also linear regression approaches. Here, we introduce BLADE (Bayesian Log-normAl DEconvolution), a Bayesian method that jointly performs deconvolution and purification ...