Linear mixed models (LMMs) provide a powerful method for studying genotype–phenotype associations. Here the authors present a LMM application that estimates an optimal transformation from ...

H-F Wang, K-W Zheng, Application of fuzzy linear programming to aggregate production plan of a refinery industry in Taiwan, The Journal of the Operational Research Society, Vol. 64, No. 2 (FEBRUARY ...

This paper introduces a hierarchical Bayes (HB) approach for prediction in general mixed linear models. The results find application in small area estimation. Our model unifies and extends a number of ...

DTSA 5013 Generalized Linear Models and Nonparametric Regression DTSA 5013 Generalized Linear Models and Nonparametric Regression Specialization: Statistical Modeling for Data Science Applications ...

Sound Bites • The development of generalised linear models (GLMs) led to other important advances in statistics, particularly when the assumption of independence between responses is violated.