Methods and Applications of Linear Models
By A. Dean. 2003
179 citations recorded by the source corpus.
Subfields: Applied Mathematics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/8a903362526a37370aea93f3b0e3b4e715301d7c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Mathematics
- J. Goodall
- Jennifer M. Williams
- Anne Pusey
- Gary A. Shaw
- Dimitris G. Manolakis
- R. Harald Baayen
- Christina Siracusa
- G. Oehlert
In Statistics and Probability
- J. Goodall
- Rob Schreuder
- Jennifer M. Williams
- Anne Pusey
- Gary A. Shaw
- Dimitris G. Manolakis
- R. Harald Baayen
- Christina Siracusa
Citations in the corpus
- Influence of Ecological and Social Factors on Body Mass of Wild Chimpanzees (2005, methodology): “Our basic approach was to fit a mixed effects linear model to the (natural) logarithm of the body mass measurements using restricted maximum likelihood (REML: Hocking, 1996 ).”
- Morphological influences on the recognition of monosyllabic monomorphemic words (2006, background): “The condition number provides a better diagnostic for collinearity (Belsley, Kuh, & Welsch, 1980; Hocking, 1996).”
- Female reproductive success in bottlenose dolphins (Tursiops sp.): life history, habitat, provisioning, and group-size effects (2000, unknown): “This means that cases (females) with large weight (more surveys) have small variance and were more important in the regression analysis (WLS, weighted least squares linear regression; Hocking, 1996).”
- Hyperspectral subpixel target detection using the linear mixing model (2001, methodology): “The statistical properties of the unconstrained LMM parameter estimates are summarized in the following proposition (see [6], [ 8 ], [9]) .”