- Most of the early studies have used the linear mixed model (LMM) to analyze this type of data, assuming a Gaussian distribution (Gwaze et al. 1997), which is seldom tenable. (Weng et al., 2017)
- Therefore, a mixed model approach with environmental effects and GEI effects as random and with genotype effects as fixed is more tenable to fit MET data. (Saxton, 2014)
- While this assumption is not tenable in animal breeding, it is used frequently in biostatistics (Laird and Ware, 1982). (Sorensen, Gianola, 2003)
- The REML-geostatistical approach is a good alternative to SAR when: (1) enough data is available to estimate semivariograms, and (2) the discrete model of spatial variance structure is untenable. (Lambert, Lowenberg-Deboer, Bongiovanni, 2004)
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