|
| Model specification, review of simple regression, the Gauss-Markov theorem, multiple regression in matrix form, ordinary and generalized least squares, residual and influence analysis. Path analysis, recursive and nonrecursive structural equation models; measurement errors and unobserved variables. Application of statistical computing packages. Instructor: Land, McPherson, or Moody |
| 
|
|
| 01 | LEC | 9/15 | W F 10:05 AM-11:20 AM (Soc/Psych 329)
| McPherson,Miller
|
Synopsis
|
|
|