Results 271 to 280 of about 47,282 (299)
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Ludwig Remling, Bruderschaften in Franken
1970Rottenburger Jahrbuch für Kirchengeschichte, Bd.
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The use of REML in variety testing
1997Variety testing is an important process in plant breeding. Every year new varieties enter and the others leave the field experiments on many different sites. This makes the data sets unbalanced and many problems can not be solved by the standard ANOVA procedure.
Gunjača, Jerko, Pecina, Marija
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REML for Two-Dimensional P-Splines
We propose a new method based on residual (or restricted) maximum likelihood (REML) for P-splines. Existing methods use a transformation of P-splines to a mixed model; in the new model it is shown that a more direct method can be used keeping the sparse structure of P-splines. The method is illustrated with a two-dimensional example using the R-packageopenaire +1 more source
Comparing pivotal and REML-based confidence intervals for heritability
Journal of Agricultural, Biological, and Environmental Statistics, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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REML estimation of variance components and analysis of unbalanced designs
1993Abstract This chapter describes the facilities for estimation of variance components and analysis of linear mixed models using the method of residual maximum likelihood (REML), sometimes also known as restricted maximum likelihood. The REML algorithm estimates the treatment effects and variance components in a linear mixed
R W Payne +10 more
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Selecting the Best Linear Mixed Model Under REML
The American Statistician, 2006Restricted maximum likelihood (REML) estimation of the parameters of the mixed model has become commonplace, even becoming the default option in many statistical software packages. However, a review of the literature indicates a need to update and clarify model selection techniques under REML, as ambiguities exist on the appropriateness of existing ...
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REML Estimation of Multiplicative Effects in Multienvironment Variety Trails
Biometrics, 1995Verbyla, A., Gogel, B., Cullis, B.
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REML Estimation of Variance Parameters in Nonlinear Mixed Effects Models Using the SAEM Algorithm
Biometrical Journal, 2007Cristian Meza, Jean-Louis Foulley
exaly

