Results 1 to 10 of about 505,857 (210)

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
doaj   +6 more sources

Likelihood Ratio Tests for Fixed Model Terms using Residual Maximum Likelihood [PDF]

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
exaly   +4 more sources

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
doaj   +6 more sources

Noise residuals for GW150914 using maximum likelihood and numerical relativity templates [PDF]

Journal of Cosmology and Astroparticle Physics, 2019
We reexamine the results presented in a recent work by Nielsen et al. [1], in which the properties of the noise residuals in the 40\,ms chirp domain of GW150914 were investigated.
Jackson, Andrew D., Liu, Hao, Naselsky, Pavel   +2 more
core   +5 more sources

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, Hoeschele I, Grignola FE, Thaller G   +3 more
doaj   +6 more sources

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.
Arunas P Verbyla
exaly   +4 more sources

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, Šárka Hudecová, Natalie Neumeyer   +2 more
openalex   +4 more sources

An adaptive residual sub-sampling algorithm for kernel interpolation based on maximum likelihood estimations [PDF]

Journal of Computational and Applied Mathematics, 2022
In this paper we propose an enhanced version of the residual sub-sampling method (RSM) in [9] for adaptive interpolation by radial basis functions (RBFs). More precisely, we introduce in the context of sub-sampling methods a maximum profile likelihood estimation (MPLE) criterion for the optimal selection of the RBF shape parameter.
R. Cavoretto A. De Rossi
  +6 more sources

Maximum Likelihood and the Maximum Product of Spacings from the Viewpoint of the Method of Weighted Residuals

Computational and Applied Mathematics, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Takuya Kawanishi, 琢也 川西
  +6 more sources

Edgeworth Expansion for the Whittle Maximum Likelihood Estimator of Linear Regression Processes with Long Memory Residuals

International Journal of Statistics and Probability, 2021
We establish an Edgeworth expansion for the distribution of the Whittle maximum likelihood estimator of the parameter of a time series generated by a linear regression model with Gaussian, stationary, and long-memory residuals. This is done by imposing an extra condition on coefficients of the regression model in addition to the standard conditions ...
Mosisa Aga
openalex   +3 more sources