Browsing Faculty of Science & Technology (FST) by Subject "Assessing Field - Level Sorghum Yield Variability in South Sudan Using Remote Sensing"
Now showing items 1-1 of 1
-
Assessing Field - Level Sorghum Yield Variability in South Sudan Using Remote Sensing
(University of Nairobi, 2022)Linear mixed-effects models (LME) include both fixed-effects and random-effects variables. The use of LME is powerful in analyzing repeated measurements, longitudinal data or unbalanced data and the variations between ...