APPLIED REGRESSION AND TIME SERIES PREDICTIVE MODELING
Session
Seven Week - 2nd
Class Number
7819
Career
Undergraduate
Units
4 units
Grading
UNDERGRADUATE GRADING
Description
Simple and multiple regression, least squares estimates, hypothesis testing, confidence intervals and prediction intervals, model building methods and diagnostic checking. Non-seasonal time series models: autoregressive, moving-average and/or autoregressive integrated moving-average models, parameter estimation and forecasting. Minitab or a similar software is used for real data analysis. Prerequisites: MATH 265 or equivalent and MATH 332/ MATH 532 or equivalent.
Add Consent
Department Consent Required
Enrollment Requirements
MATH 337 requires a grade of C (2.0) or higher in MATH 265 and MATH 332.
Similar Classes
Class Details
Instructor(s)
Xiaoyin Wang
Meets
TBA
Dates
10/16/2019 - 12/17/2019
Room
Campus
Main Academic Campus
Location
On Campus
Components
Lecture Required
Class Availability
Status
Closed
Seats Taken
1
Seats Open
0
Class Capacity
1
Wait List Total
0
Wait List Capacity
0