Foundations of the Linear Model
Linear models; Least squares estimates; Multivariate normal distribution; Maximum likelihood estimators; Covariance matrices, information matrices; Quadratic forms; Principal components; Orthogonal polynomial regression; Non-central distributions.
Prereq: Math 2568 (568) or equiv, or permission of instructor. Concur: 6802. Not open to students with credit for 742.
Prereq: Math 2568 (568) or equiv, or permission of instructor. Concur: 6802. Not open to students with credit for 742.
Typical semesters offered are indicated at the bottom of this page. For confirmation check the Schedule of Classes list on the Registrar's website.
Recent Syllabi
SP20 STAT 6860 Zhu [pdf]
SP18 STAT 6860 Xu [pdf]
SP17 STAT 6860 MacEachern [pdf]
SP16 STAT 6860 MacEachern [pdf]
SP15 STAT 6860 MacEachern [pdf]
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