Multilevel mixed linear model analysis using iterative generalized least squares
Clicks: 4
ID: 304737
1986
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
Steady Performance
0.9
/100
4 views
1 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #56 of 188 articles by views in jurnal biometrika dan kependudukan
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 188 in total.
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
Journal Article Multilevel mixed linear model analysis using iterative generalized least squares Get access H. GOLDSTEIN H. GOLDSTEIN Department of Mathematics, Statistics & Computing, University of London Institute of EducationLondon WC1HOAL, U.K. Search for other works by this author on: Oxford Academic Google Scholar Biometrika, Volume 73, Issue 1, April 1986, Pages 43–56, https://doi.org/10.1093/biomet/73.1.43 Published: 01 April 1986 Article history Revision received: 01 March 1986 Published: 01 April 1986 Received: 01 July 1986
Abstract Quality Issue:
This abstract appears to be incomplete or contains metadata (65 words).
Try re-searching for a better abstract.
| Reference Key |
openalex_W2093754907
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Harvey Goldstein |
| Journal | jurnal biometrika dan kependudukan |
| Year | 1986 |
| DOI |
10.1093/biomet/73.1.43
|
| 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.