“…The analysis of the same dataset provided by Zimmerman and Núñez-Antón (1997) rejected equality of the two covariance matrices corresponding to treatment group using the classical likelihood ratio test, making it reasonable to study each treatment group's covariance matrix separately. Following Pourahmadi (1999), Zhang, Leng, and Tang (2015), and Pan and Pan, (2017), we analyze the data from the cattle assigned to treatment Group A (N = 30). Given that the animals belong to the same treatment group and share a common set of observation times, we posit common covariance matrix Σ for each subject.…”