Fred Mannering, Professor of Civil and Environmental Engineering University of South Florida 4202 E. Fowler Avenue, ENC 3506 Tampa, FL 33620; e-mail: Fred Mannering; links: personal homepage.
The objective of this course is to provide students with a general background in the application of various statistical and econometric analysis techniques. The course will present a number of model-estimation methods that are used in the analysis of engineering and scientific data. It is important to note that the methods presented can be used in a wide variety of data-analysis applications and go well beyond the techniques typically covered in statistics courses. The course will emphasize model estimation and application, but underlying theory and limitations will be discussed to ensure that the methods are properly applied and understood.
Fall semester, Wednesdays 2:00pm - 5:00pm, ENG201 or Microsoft Teams; Office hours, Fridays 1:00pm - 2:30pm, Microsoft Teams
Washington, S., M. Karlaftis, F. Mannering, P. Anastasopoulos (2020) Statistical and econometric methods for transportation data analysis, Third Edition, Chapman & Hall/CRC, Boca Raton, FL, 478 pages. Publisher online price ; Amazon online price
| Course syllabus | First lecture Slides | Class lecture notes | Software | TTE6308/6501 website | Text website (Third Edition) |
Midterm exam: Coming mid semester
Final exam: Coming near end of semester
Coming near end of semester
| Assignment #1 - Example with Table Templates | Assignment #1 - Constant/indicators example | Assignment #2 | Assignment #2 Log-Likelihood at zero calculation | Assignment #2 Log-Likelihood at convergence calculation | Assignment #3 - Expanded Explanation with Table Template | Assignment #5 | Assignment #6 | Assignment #7 | Assignment #8 | Assignment #9 | Duration model paper | MNL/Mixed Logit | Latent-Class logit | Count data models |
| Assignment #1 | Assignment #2 | Assignment #3 | Assignment #4 | Assignment #5 | Assignment #6 | Assignment #7 |Assignment #8 | Assignment #9 |
| Course progress - percent understood chart | Assignments #1 2018 comments | Assignments #1 & 2 2017 comments | Assignment #1 2016 comments | Assignment #2 comments | Assignment #3 parameter interpretation | NLOGIT data satcking explanation | Assignment #4 comments | 2015 Assignment #5 comments | 2016 Assignment #5 comments | Assignment Observations |
| Assignment #1 Data | Assignment #2 Data | Assignment #3 Data | Assignment #4 Data | Assignment #5 Data | Assignment #6 Data | Assignment #7 Data | Assignment #8 Data | Assignment #9 Data |
| Assignment #1 | Assignment #2 | Assignment #3 | Assignment #4 | Assignment #5 | Assignment #6 | Assignment #7 | Assignment #8 | Assignment #9 |
Support materials 1: | SURE Speed Presentation | Example 5.2 Sure/3SLS (Purdue Data) | Example 5.2 Sure/3SLS (USF Data) |
Support materials 2: | Nested Logit Paper Supporting Example 13.7 |
Support materials 3: | Risk Compensation Presentation |
Support materials 4: | Random Effects Ordered Probit Presentation |
Support materials 5: | Random Parameters Count-Data Models | Commands for RPM Assignment #2 |
Support materials 6: | Mixed Logit Presentation | Mixed Logit Example | Mixed Logit Paper |
Support materials 7: | Latent Class Logit Presentation | Latent Class Logit Paper |
| Software manual | Assignment #1/3/4/5 paper | Seattle traffic map (assignment #2) | Chi square calculator | t-test calculator (one-tailed) | Normal distribution calculator for random parameter models | Dan McFadden interview |