๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Some characterizations of distributions by regression models for ordinal response data

โœ Scribed by J. Engel

Publisher
Springer
Year
1985
Tongue
English
Weight
274 KB
Volume
32
Category
Article
ISSN
0026-1335

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Regression analysis of forest damage by
Regression analysis of forest damage by marginal models for correlated ordinal responses
โœ L. Fahrmeir; L. Pritscher ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Springer ๐ŸŒ English โš– 801 KB

Studies on forest damage generally cannot be carried out by common regression models, for two main reasons: Firstly, the response variable, damage state of trees, is usually observed in ordered categories. Secondly, responses are often correlated, either serially, as in a longitudinal study, or spat

Properties of Prior and Posterior Distri
Properties of Prior and Posterior Distributions for Multivariate Categorical Response Data Models
โœ Ming-Hui Chen; Qi-Man Shao ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 162 KB

In this article, we model multivariate categorical (binary and ordinal) response data using a very rich class of scale mixture of multivariate normal (SMMVN) link functions to accommodate heavy tailed distributions. We consider both noninformative as well as informative prior distributions for SMMVN

Patient-specific analysis of sequential
Patient-specific analysis of sequential haematological data by multiple linear regression and mixture distribution modelling
โœ C. E. McLaren; E. L. Kambour; G. J. McLachlan; H. C. Lukaski; X. Li; G. M. Britt ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 120 KB ๐Ÿ‘ 1 views

Automated storage and analysis of the results of serial haematologic studies are now technically feasible with present-day laboratory instruments and devices for data storage and processing. In current practice, physicians mentally compare a laboratory result with previous values and use their clini

A comparison of mixed effects logistic r
A comparison of mixed effects logistic regression models for binary response data with two nested levels of clustering
โœ Thomas R. Ten Have; Allen R. Kunselman; Luan Tran ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 111 KB ๐Ÿ‘ 3 views

We compare mixed effects logistic regression models for binary response data with two nested levels of clustering. The comparison of these models occurs in the context of developmental toxicity data sets, for which multiple types of outcomes (first level) are measured on each rat pup (second level)