✦ LIBER ✦

Random effects Weibull regression model for occupational lifetime

✍ Scribed by So Young Sohn; In Sang Chang; Tae Hee Moon

Book ID: 108118129
Publisher: Elsevier Science
Year: 2007
Tongue: English
Weight: 145 KB
Volume: 179
Category: Article
ISSN: 0377-2217
DOI: 10.1016/j.ejor.2006.03.008

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Random effects logistic regression model

Random effects logistic regression model for anomaly detection

✍ Min Seok Mok; So Young Sohn; Yong Han Ju 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 181 KB

Fitting Weibull duration models with ran

Fitting Weibull duration models with random effects

✍ Carl Morris; Cindy Christiansen 📂 Article 📅 1995 🏛 Springer 🌐 English ⚖ 863 KB

WEIBULL: A regression model for survival

WEIBULL: A regression model for survival time studies

✍ John O'Quigley; Ann Roberts 📂 Article 📅 1980 🏛 Elsevier Science ⚖ 325 KB

WEIBULL is a FORTRAN program which calculates the regzession coefficien',;, their standard errors and the maximised loglikelihood of the data for a Weibull regression model. It incorporates routines from the NAG library in order to perform the maximisation. A x 2 statistic is computed to check the a

Method of medians for lifetime data with

Method of medians for lifetime data with Weibull models

✍ Xuming He; Wing K. Fung 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 149 KB 👁 2 views

The Weibull family of distributions is frequently used in failure time models. The maximum likelihood estimator is very sensitive to occurrence of upper and lower outliers, especially when the hazard function is increasing. We consider the method of medians estimator for the two-parameter Weibull mo

A random effects nonlinear regression mo

A random effects nonlinear regression model for analysis of environmental contamination data

✍ Keiko Otani; Megu Ohtaki; Shaw Watanabe 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 91 KB 👁 2 views

## Abstract The purpose of this study is to examine the relationship between dioxin concentration in humans and their living environmental factors such as diet or residential district. We develop a nonlinear random effects regression model based on a pharmacokinetic model that explains dioxin accum

A regression model for multivariate rand

A regression model for multivariate random length data

✍ Huiman X. Barnhart; Andrzej S. Kosinski; Allan R. Sampson 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 109 KB 👁 2 views

Multivariate random length data occur when we observe multiple measurements of a quantitative variable and the variable number of these measurements is also an observed outcome for each experimental unit. For example, for a patient with coronary artery disease, we may observe a number of lesions in