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1990, 1st ed., Monographs on statistics and applied probability, ISBN 0412343908, Volume 43., xv, 335
.... These methods relax the linear assumption of many standard models and allow analysts to uncover structure in the data that might otherwise have been missed... 
Modèles linéaires (Statistique) | Linear models (Statistics) | Smoothing (Statistics) | Regression analysis | Analyse de régression | Lissage (Statistique) | Statistical Theory & Methods
Book
2006, Monographs on Statistics and Applied Probability, ISBN 1584886315, Volume 106, 396
Book
2017, Second edition., Monographs on statistics and applied probability, ISBN 9781498720618, Volume 153., xix, 446 pages
This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and Nelder... 
Linear models (Statistics) | Generalized estimating equations
Book
Journal Article
The Annals of statistics, ISSN 0090-5364, 2010, Volume 38, Issue 6, pp. 3567 - 3604
Journal Article
2008, 2nd ed., Wiley series in probability and statistics., ISBN 0470073713, xxv, 384
Book
Methods in ecology and evolution, ISSN 2041-210X, 07/2018, Volume 9, Issue 7, pp. 1772 - 1779
Residual randomization in permutation procedures (RRPP) is an appropriate means of generating empirical sampling distributions for ANOVA statistics and linear model coefficients, using ordinary or generalized least‐squares estimation... 
multivariate | generalized least‐squares | high‐dimensional data | dissimilarity | generalized least-squares | high-dimensional data | REGRESSION | SHAPE | MATRICES | ECOLOGY | VARIANCE | PERMUTATION TESTS | MULTIVARIATE-ANALYSIS | Permutations | Randomization | Statistical analysis | Downstream effects | Data processing | Mathematical models | Statistical tests | Coefficients | Multivariate analysis | Variance analysis | Empirical analysis | Matrix methods
Journal Article
PLoS computational biology, ISSN 1553-7358, 2011, Volume 7, Issue 1, p. e1001056
Journal Article
Journal of Computational and Graphical Statistics, ISSN 1061-8600, 04/2014, Volume 23, Issue 2, pp. 460 - 477
We propose an ℓ 1 -penalized algorithm for fitting high-dimensional generalized linear mixed models (GLMMs... 
Random-effects model | Coordinate gradient descent | Laplace approximation | Variable selection | Simulations | Generalized linear model | Estimation bias | Approximation | Covariance | Threshing | Multilevel models | Coordinate systems | Large p Small n | Estimators | Logistics
Journal Article