Results 1 to 10 of about 125,543 (299)
Likelihood Ratio Tests for Fixed Model Terms using Residual Maximum Likelihood
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1997 Summary Likelihood ratio tests for fixed model terms are proposed for the analysis of linear mixed models when using residual maximum likelihood estimation. Bartlett-type adjustments, using an approximate decomposition of the data, are developed for the test statistics.
S J Welham
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Journal of the Royal Statistical Society Series B: Statistical Methodology, 1996 SUMMARY Residual maximum likelihood (REML) estimation is often preferred to maximum likelihood estimation as a method of estimating covariance parameters in linear models because it takes account of the loss of degrees of freedom in estimating the mean and produces unbiased estimating equations for the variance parameters.
Gordon K Smyth, Arunas P Verbyla
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Mapping linked quantitative trait loci via residual maximum likelihood [PDF]
Genetics Selection Evolution, 1997 Detection de genes lies a effets quantitatifs (QTL) grâce au maximum de vraisemblance residuelle. On presente une methode de maximum de vraisemblance residuelle pour estimer les positionss et les contributions a la variabilite genetique de deux QTLs lies.
Hoeschele I, Zhang Q, Grignola FE
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Mapping quantitative trait loci in outcross populations via residual maximum likelihood. I. Methodology [PDF]
Genetics Selection Evolution, 1996 Une methode de maximum de vraisemblance residuelle, appuyee sur un algorithme sans derivation, a ete etablie pour estimer la position et la part de variance d'un locus de caractere quantitatif (QTL) et simultanement les variances polygeniques additives et residuelles. La methode est basee sur un modele mixte lineaire incluant des effets polygeniques et
Hoeschele I, Grignola FE, Tier B
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Modelling Variance Heterogeneity: Residual Maximum Likelihood and Diagnostics
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1993 SUMMARY The assumption of equal variance in the normal regression model is not always appropriate. to attempt to eliminate unequal variance a transformation is often used but if the transformation is not successful, or the variances are of intrinsic interest, it may be necessary to model the variances in some way.
A P Verbyla
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Mapping quantitative trait loci in outcross populations via residual maximum likelihood. II. A simulation study [PDF]
Genetics Selection Evolution, 1996 La position et la contribution a la variance d'un locus de caractere quantitatif (QTL) ont ete estimees avec les variances polygeniques additives et residuelles par une methode de maximum de vraisemblance residuelle et un algorithme sans derivation. La matrice de variance-covariance des effets de QTL et son inverse ont ete calculees conditionnellement ...
Zhang Q +3 more
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Further Properties and Estimations of Exponentiated Generalized Linear Exponential Distribution
Mathematics, 2021 The recent exponentiated generalized linear exponential distribution is a generalization of the generalized linear exponential distribution and the exponentiated generalized linear exponential distribution.
Chien-Tai Lin +4 more
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Some common and dynamic properties of logarithmic Pareto distribution with applications
Open Physics, 2021 The Pareto distribution satisfies the power law, which is widely used in physics, biology, earth and planetary sciences, economics, finance, computer science, and many other fields.
Kayid Mohamed
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Maximum pseudo‐likelihood estimation based on estimated residuals in copula semiparametric models [PDF]
Scandinavian Journal of Statistics, 2020 AbstractThis paper deals with an estimation of the dependence structure of a multidimensional response variable in the presence of a multivariate covariate. It is assumed that the covariate affects only the marginal distributions through regression models while the dependence structure, which is described by a copula, is unaffected.
Marek Omelka +2 more
openaire +2 more sources
Stacked survival models for residual lifetime data
BMC Medical Research Methodology, 2022 When modelling the survival distribution of a disease for which the symptomatic progression of the associated condition is insidious, it is not always clear how to measure the failure/censoring times from some true date of disease onset.
James H. McVittie +3 more
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