FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2034465608> ?p ?o ?g. }

• W2034465608 endingPage "128" @default.
• W2034465608 startingPage "117" @default.
• W2034465608 abstract "This paper describes an EM algorithm for nonparametric maximum likelihood (ML) estimation in generalized linear models with variance component structure. The algorithm provides an alternative analysis to approximate MQL and PQL analyses (McGilchrist and Aisbett, 1991, Biometrical Journal 33, 131-141; Breslow and Clayton, 1993; Journal of the American Statistical Association 88, 9-25; McGilchrist, 1994, Journal of the Royal Statistical Society, Series B 56, 61-69; Goldstein, 1995, Multilevel Statistical Models) and to GEE analyses (Liang and Zeger, 1986, Biometrika 73, 13-22). The algorithm, first given by Hinde and Wood (1987, in Longitudinal Data Analysis, 110-126), is a generalization of that for random effect models for overdispersion in generalized linear models, described in Aitkin (1996, Statistics and Computing 6, 251-262). The algorithm is initially derived as a form of Gaussian quadrature assuming a normal mixing distribution, but with only slight variation it can be used for a completely unknown mixing distribution, giving a straightforward method for the fully nonparametric ML estimation of this distribution. This is of value because the ML estimates of the GLM parameters can be sensitive to the specification of a parametric form for the mixing distribution. The nonparametric analysis can be extended straightforwardly to general random parameter models, with full NPML estimation of the joint distribution of the random parameters. This can produce substantial computational saving compared with full numerical integration over a specified parametric distribution for the random parameters. A simple method is described for obtaining correct standard errors for parameter estimates when using the EM algorithm. Several examples are discussed involving simple variance component and longitudinal models, and small-area estimation." @default.
• W2034465608 created "2016-06-24" @default.
• W2034465608 creator A5025961197 @default.
• W2034465608 date "1999-03-01" @default.
• W2034465608 modified "2023-10-14" @default.
• W2034465608 title "A General Maximum Likelihood Analysis of Variance Components in Generalized Linear Models" @default.
• W2034465608 cites W165885291 @default.
• W2034465608 cites W1966953116 @default.
• W2034465608 cites W1972215162 @default.
• W2034465608 cites W1990681166 @default.
• W2034465608 cites W1991597992 @default.
• W2034465608 cites W1997817781 @default.
• W2034465608 cites W1998487261 @default.
• W2034465608 cites W2004014822 @default.
• W2034465608 cites W2004877180 @default.
• W2034465608 cites W2017966270 @default.
• W2034465608 cites W2018986965 @default.
• W2034465608 cites W2029974256 @default.
• W2034465608 cites W2053633338 @default.
• W2034465608 cites W2062870338 @default.
• W2034465608 cites W2066778178 @default.
• W2034465608 cites W2071295198 @default.
• W2034465608 cites W2075825284 @default.
• W2034465608 cites W2079360233 @default.
• W2034465608 cites W2082246284 @default.
• W2034465608 cites W2091982107 @default.
• W2034465608 cites W2099956324 @default.
• W2034465608 cites W2117180217 @default.
• W2034465608 cites W2132445016 @default.
• W2034465608 cites W2141434750 @default.
• W2034465608 cites W2149860264 @default.
• W2034465608 cites W2170664774 @default.
• W2034465608 cites W2170712385 @default.
• W2034465608 cites W2317026079 @default.
• W2034465608 cites W2334958735 @default.
• W2034465608 cites W2796141001 @default.
• W2034465608 cites W4239873714 @default.
• W2034465608 cites W4245368139 @default.
• W2034465608 cites W4247690662 @default.
• W2034465608 cites W4247798650 @default.
• W2034465608 cites W4300501217 @default.
• W2034465608 cites W4301861531 @default.
• W2034465608 cites W4375184042 @default.
• W2034465608 cites W4376453586 @default.
• W2034465608 cites W4376848253 @default.
• W2034465608 doi "https://doi.org/10.1111/j.0006-341x.1999.00117.x" @default.
• W2034465608 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/11318145" @default.
• W2034465608 hasPublicationYear "1999" @default.
• W2034465608 type Work @default.
• W2034465608 sameAs 2034465608 @default.
• W2034465608 citedByCount "348" @default.
• W2034465608 countsByYear W20344656082012 @default.
• W2034465608 countsByYear W20344656082013 @default.
• W2034465608 countsByYear W20344656082014 @default.
• W2034465608 countsByYear W20344656082015 @default.
• W2034465608 countsByYear W20344656082016 @default.
• W2034465608 countsByYear W20344656082017 @default.
• W2034465608 countsByYear W20344656082018 @default.
• W2034465608 countsByYear W20344656082019 @default.
• W2034465608 countsByYear W20344656082020 @default.
• W2034465608 countsByYear W20344656082021 @default.
• W2034465608 countsByYear W20344656082022 @default.
• W2034465608 countsByYear W20344656082023 @default.
• W2034465608 crossrefType "journal-article" @default.
• W2034465608 hasAuthorship W2034465608A5025961197 @default.
• W2034465608 hasConcept C100906024 @default.
• W2034465608 hasConcept C102366305 @default.
• W2034465608 hasConcept C105795698 @default.
• W2034465608 hasConcept C117236510 @default.
• W2034465608 hasConcept C117251300 @default.
• W2034465608 hasConcept C126322002 @default.
• W2034465608 hasConcept C153720581 @default.
• W2034465608 hasConcept C16012445 @default.
• W2034465608 hasConcept C168743327 @default.
• W2034465608 hasConcept C18653775 @default.
• W2034465608 hasConcept C28826006 @default.
• W2034465608 hasConcept C33643355 @default.
• W2034465608 hasConcept C33923547 @default.
• W2034465608 hasConcept C71924100 @default.
• W2034465608 hasConcept C91025261 @default.
• W2034465608 hasConcept C95190672 @default.
• W2034465608 hasConceptScore W2034465608C100906024 @default.
• W2034465608 hasConceptScore W2034465608C102366305 @default.
• W2034465608 hasConceptScore W2034465608C105795698 @default.
• W2034465608 hasConceptScore W2034465608C117236510 @default.
• W2034465608 hasConceptScore W2034465608C117251300 @default.
• W2034465608 hasConceptScore W2034465608C126322002 @default.
• W2034465608 hasConceptScore W2034465608C153720581 @default.
• W2034465608 hasConceptScore W2034465608C16012445 @default.
• W2034465608 hasConceptScore W2034465608C168743327 @default.
• W2034465608 hasConceptScore W2034465608C18653775 @default.
• W2034465608 hasConceptScore W2034465608C28826006 @default.
• W2034465608 hasConceptScore W2034465608C33643355 @default.
• W2034465608 hasConceptScore W2034465608C33923547 @default.
• W2034465608 hasConceptScore W2034465608C71924100 @default.
• W2034465608 hasConceptScore W2034465608C91025261 @default.
• W2034465608 hasConceptScore W2034465608C95190672 @default.
• W2034465608 hasIssue "1" @default.

• next