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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Published in | Crop science Vol. 61; no. 6; pp. 4087 - 4097 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
01.11.2021
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Online Access | Get full text |
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