Effect of missing values in multi‐environmental trials on variance component estimates

A common task in the analysis of multi‐environmental trials (MET) by linear mixed models (LMM) is the estimation of variance components (VCs). Most often, MET data are imbalanced (e.g., due to selection). The imbalance mechanism can be missing completely at random (MCAR), missing at random (MAR), or...

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Bibliographic Details
Published inCrop science Vol. 61; no. 6; pp. 4087 - 4097
Main Authors Hartung, Jens, Piepho, Hans‐Peter
Format Journal Article
LanguageEnglish
Published 01.11.2021
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