Fitting A Regression Model for Genotype‐By‐Environment Data on Heading Dates in Grasses by Methods for Nonlinear Mixed Models

DOI10.1111/j.0006-341X.1999.01120.xzbMath1059.62687OpenAlexW1968942677WikidataQ30649789 ScholiaQ30649789MaRDI QIDQ4668316

Hans-Peter Piepho

Publication date: 18 April 2005

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.0006-341x.1999.01120.x

zbMATH Keywords

maximum likelihoodrestricted maximum likelihoodTaylor series expansiongenotype-by-environment interactionmultiplicative modelnonlinear mixed modelvariety trial

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12) Linear inference, regression (62J99)

Related Items (4)

Maximal interaction two-mode clustering ⋮ Parametric bootstrap methods for testing multiplicative terms in GGE and AMMI models ⋮ REMAXINT: a two-mode clustering-based method for statistical inference on two-way interaction ⋮ An Exact Test for Additivity in Two-Way Tables under Biadditive Modelling

Cites Work

• Model Selection and Validation for Yield Trials with Interaction
• Multiplicative effects in mixed model analysis of variance
• Covariance structure selection in general mixed models
• Analyzing Genotype-Environment Data by Mixed Models with Multiplicative Terms
• REML Estimation of Multiplicative Effects in Multienvironment Variety Trails

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