For multivariate nonlinear regression and multivariate generalized linear regression models, with repeated measurements and possible missing values, we derive the asymptotic normality of a general estimating equations estimator of the regression matrix. We also provide consistent estimators of the c
โฆ LIBER โฆ
Generalized Linear Latent Variable Models for Repeated Measures of Spatially Correlated Multivariate Data
โ Scribed by J. Zhu; J. C. Eickhoff; P. Yan
- Book ID
- 109223308
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 237 KB
- Volume
- 61
- Category
- Article
- ISSN
- 0006-341X
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Asymptotic normality in multivariate non
โ
Steven T. Garren; Shyamal D. Peddada
๐
Article
๐
2000
๐
Elsevier Science
๐
English
โ 124 KB
A Partial Correlation Coefficient and Co
โ
Stuart R. Lipsitz; Traci Leong; Joseph Ibrahim; Steven Lipshultz
๐
Article
๐
2001
๐
John Wiley and Sons
โ 191 KB
The asymptotic validity of invariant pro
โ
Steven Arnold
๐
Article
๐
1984
๐
Elsevier Science
๐
English
โ 462 KB
Entropy correlation coefficient for meas
โ
Nobuoki Eshima; Minoru Tabata
๐
Article
๐
2007
๐
Elsevier Science
๐
English
โ 142 KB
The use of linear mixed model theory for
โ
Francisco Zamudio; Russ Wolfinger; Brian Stanton; Fernando Guerra
๐
Article
๐
2007
๐
Springer-Verlag
๐
English
โ 305 KB
On summary measures analysis of the line
โ
Roderick J. Little; Trivellore Raghunathan
๐
Article
๐
1999
๐
John Wiley and Sons
๐
English
โ 139 KB
๐ 2 views
Subjects often drop out of longitudinal studies prematurely, yielding unbalanced data with unequal numbers of measures for each subject. A simple and convenient approach to analysis is to develop summary measures for each individual and then regress the summary measures on between-subject covariates