Extra-Poisson Variation in Log-Linear Models
Clicks: 2
ID: 305250
1984
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
0.0
/100
2 views
0 readers
AI Quality Assessment
Not analyzed
Readership in this journal
Ranked #44 of 46 articles by views in Journal of the Royal Statistical Society Series C (Applied Statistics)
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
A modification of the iterated reweighted least squares scheme of Williams (1982) conveniently accommodates extra‐Poisson variation when fitting log‐linear models to tables of frequencies or rates. The method is applied to the analysis of cancer death rates by age and birth cohort and to testing for mutagenic effects in a standard bioassay.
| Reference Key |
openalex_W101236184
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | N. E. Breslow |
| Journal | Journal of the Royal Statistical Society Series C (Applied Statistics) |
| Year | 1984 |
| DOI |
10.2307/2347661
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.