Results 41 to 50 of about 4,106,343 (229)

Variational approximation for mixtures of linear mixed models

, 2012
Mixtures of linear mixed models (MLMMs) are useful for clustering grouped data and can be estimated by likelihood maximization through the EM algorithm.
Armagan A., Attias H., Booth J.G., Corduneanu A., David J. Nott, Dempster A.P., Meng X.L., Papaspiliopoulos O., Sahu S.K., Scharl T., Siew Li Tan, Verbeek J.J., Wang B., Waterhouse S., Winn J., Wu B., Yeung K.Y., ———   +17 more
core   +2 more sources

Simultaneous Inference in General Parametric Models [PDF]

, 2008
Simultaneous inference is a common problem in many areas of application. If multiple null hypotheses are tested simultaneously, the probability of rejecting erroneously at least one of them increases beyond the pre-specified significance level ...
Bates, Bates, Bretz, Bretz, Bullinger, Bönsch, Garcia, Genz, Genz, Genz, Hochberg, Hothorn, Hothorn, Hsu, Marcus, R Development Core Team, Rousseeuw, Salib, Searle, Serfling, Shaffer, Stefanski, Todorov, Tong, Westfall, Westfall, Westfall, Yohai, Zeileis, Zeileis   +29 more
core   +3 more sources

Effect of Conservation Management on Oxisol in a Sugarcane Area Under a Pre-Sprouted Seedling System

Agriculture
Conservation soil management, such as no-tillage and Rip Strip®, can be developed as an alternative to degradation processes such as compaction. This study aimed to compare conventional and conservation soil tillage regarding their soil physical ...
Ingrid Nehmi de Oliveira, Zigomar Menezes de Souza, Denizart Bolonhezi, Rose Luiza Moraes Tavares, Renato Paiva de Lima, Reginaldo Barboza da Silva, Fernando Silva Araújo, Lenon Henrique Lovera, Elizeu de Souza Lima   +8 more
doaj   +1 more source

Linear mixed effects models under inequality constraints with applications.

PLoS ONE, 2014
Constraints arise naturally in many scientific experiments/studies such as in, epidemiology, biology, toxicology, etc. and often researchers ignore such information when analyzing their data and use standard methods such as the analysis of variance ...
Laura Farnan, Anastasia Ivanova, Shyamal D Peddada   +2 more
doaj   +1 more source

Using linear mixed models to analyze learning processes within sessions improves detection of treatment effects: An exemplary study of chronometric mental rotation

Methods in Psychology, 2022
Practice effects occur for many cognitive tasks. They are observed not only between repeated tests, but also within sessions. They can confound the detection of treatment effects, even when compared with control groups.
Leonardo Jost, Petra Jansen
doaj   +1 more source

Subset Selection for Linear Mixed Models

Biometrics, 2022
AbstractLinear mixed models (LMMs) are instrumental for regression analysis with structured dependence, such as grouped, clustered, or multilevel data. However, selection among the covariates—while accounting for this structured dependence—remains a challenge. We introduce a Bayesian decision analysis for subset selection with LMMs. Using a Mahalanobis
openaire   +3 more sources

A Note on the Identifiability of Generalized Linear Mixed Models [PDF]

, 2014
I present here a simple proof that, under general regularity conditions, the standard parametrization of generalized linear mixed model is identifiable.
Labouriau, Rodrigo
core  

Application of an Empirical Best Linear Unbiased Prediction Fay–Herriot (EBLUP-FH) Multivariate Method with Cluster Information to Estimate Average Household Expenditure

Mathematics, 2022
Data at a smaller regional level has now become a necessity for local governments. The average data on household expenditure on food and non-food is designed for provincial and district/city estimation levels.
Armalia Desiyanti, Irlandia Ginanjar, Toni Toharudin   +2 more
doaj   +1 more source

Improved testing inference in mixed linear models

, 2009
Mixed linear models are commonly used in repeated measures studies. They account for the dependence amongst observations obtained from the same experimental unit.
Barndorff-Nielsen, Bartlett, Brazzale, Brown, Cox, Crepeau, Cribari-Neto, Cysneiros, DiCiccio, Doornik, Ferrari, Ferrari, Francisco Cribari-Neto, Ihaka, Lawley, Littel, Pinheiro, Sartori, Sartori, Severini, Silvia L.P. Ferrari, Tatiane F.N. Melo, Verbeke, Zucker   +23 more
core   +1 more source

mplot: An R Package for Graphical Model Stability and Variable Selection Procedures

Journal of Statistical Software, 2018
The mplot package provides an easy to use implementation of model stability and variable inclusion plots (Müller and Welsh 2010; Murray, Heritier, and Müller 2013) as well as the adaptive fence (Jiang, Rao, Gu, and Nguyen 2008; Jiang, Nguyen, and Rao ...
Garth Tarr, Samuel Müller, Alan H. Welsh   +2 more
doaj   +1 more source