𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Transformations for an exact goodness-of-fit test of structural change in the linear regression model

✍ Scribed by M. L. King; P. M. Edwards

Publisher
Springer-Verlag
Year
1989
Tongue
English
Weight
264 KB
Volume
14
Category
Article
ISSN
0377-7332

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

A COMPARISON OF GOODNESS-OF-FIT TESTS FO
A COMPARISON OF GOODNESS-OF-FIT TESTS FOR THE LOGISTIC REGRESSION MODEL
✍ D. W. HOSMER; T. HOSMER; S. LE CESSIE; S. LEMESHOW πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 271 KB πŸ‘ 3 views

Recent work has shown that there may be disadvantages in the use of the chi-square-like goodness-of-fit tests for the logistic regression model proposed by Hosmer and Lemeshow that use fixed groups of the estimated probabilities. A particular concern with these grouping strategies based on estimated

On goodness-of-fit for the linear transf
On goodness-of-fit for the linear transformation and frailty models
✍ Vilijandas Bagdonavičius; Mikhail Nikulin πŸ“‚ Article πŸ“… 2000 πŸ› Elsevier Science 🌐 English βš– 122 KB

Goodness-of-ΓΏt tests for accelerated life models, generalizing or alternative to the additive accumulation of damages and the proportional hazards models are proposed. Important classes of such models are the linear transformation and frailty models.

Goodness-of-Fit Tests for the Logistic R
Goodness-of-Fit Tests for the Logistic Regression Model for Matched Case-Control Studies
✍ David W. Hosmer; Stanley Lemeshow πŸ“‚ Article πŸ“… 1985 πŸ› John Wiley and Sons 🌐 English βš– 547 KB

## A batract A number of statistics have recently been proposed t o asssess the fit of the multiple logistic regression model in both prospective and retrospective studies involving two independent samples as well as in cross sectional studies. These statistics are not appropriate for assessing fi

Goodness-of-Fit Testing for the Logistic
Goodness-of-Fit Testing for the Logistic Regression Model when the Estimated Probabilities are Small
✍ Prof. D. W. Hosmer; S. Lemeshow; J. Klar πŸ“‚ Article πŸ“… 1988 πŸ› John Wiley and Sons 🌐 English βš– 762 KB

The distribution of the Hosmer-Lemeshow chi-square type goodness-of-fit tests (Gg, I? for the logistic regremion model are examined via simulations designed to examine their behamor when most of the estimated probabilities are small or are expected to fall in a few deciles. The results of the simula