𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Generalized linear models in software reliability: parametric and semi-parametric approaches

✍ Scribed by El Aroui, M.-A.; Lavergne, C.

Book ID
114555566
Publisher
IEEE
Year
1996
Tongue
English
Weight
602 KB
Volume
45
Category
Article
ISSN
0018-9529

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

A semi-parametric Bayesian approach to g
A semi-parametric Bayesian approach to generalized linear mixed models
✍ Ken P. Kleinman; Joseph G. Ibrahim πŸ“‚ Article πŸ“… 1998 πŸ› John Wiley and Sons 🌐 English βš– 170 KB πŸ‘ 2 views

The linear mixed effects model with normal errors is a popular model for the analysis of repeated measures and longitudinal data. The generalized linear model is useful for data that have non-normal errors but where the errors are uncorrelated. A descendant of these two models generates a model for

On Semi-Parametric Models in Occult Tumo
On Semi-Parametric Models in Occult Tumour Experiments
✍ Dr. Shesh N. Rai πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 500 KB

Nonparametric statistical analyses of rodent carcinogenicity experiments involving occult tumours of intermediate lethality require numerous interim sacrifices. In recent papers, various semi-parametric analyses have been proposed which specify a parametric relationship between.the death rate in tum