Detailed Course Information |
2019 May Semester
Apr 23, 2024 |
|
 |
||
 | Select the desired Level or Schedule Type to find available classes for the course. |
| STAT 471 - Linear Models | ||
|
This course discusses the estimation of parameters in the multiple linear regression model by the least-squares method. Topics covered include the statistical properties of the least-spares estimators, the Gauss-Markov theorem, estimates of residual and regression sums of squares, distribution theory under normality of the observations, assessment of normality, variance stabilizing transformations, examination of multicollinearity, variable selection methods, logistic regression for a binary response, log-linear models for count data, and generalized linear models.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam Precluded: MATH-471 MATH-499 Students cannot receive credit for the course being described and the course(s) listed as Precluded
( MATH 150 Minimum Grade of C- or MATH 220 Minimum Grade of C- ) and ( ECON 205 Minimum Grade of C- or MATH 240 Minimum Grade of C- or MATH 371 Minimum Grade of C- or PSYC 315 Minimum Grade of C- or STAT 240 Minimum Grade of C- or STAT 371 Minimum Grade of C- ) |
| Return to Previous | New Search |
|