Statistical and Econometric Methods for Transportation Data Analysis / Edition 3

by Simon Washington

Overview

This graduate textbook for a two semester course describes continuous dependent variable models, count data models, and discrete dependent variable models for analyzing transportation patterns, with chapters on linear regression, simultaneous equation models, panel data analysis, duration models, and discrete outcome models. Annotation ©2003 Book News, Inc., Portland, OR

Product Details

ISBN-13:	2900367199028
Publication date:	02/12/2020
Pages:	496
Product dimensions:	6.50(w) x 1.50(h) x 9.50(d)

About the Author

Simon Washington, Matthew G. Karlaftis, Fred Mannering, Panagiotis Anastasopoulos

Table of Contents

Section I Fundamentals 1. Statistical Inference I: Descriptive Statistics 2. Statistical Inference II: Interval Estimation, Hypothesis Testing, and Population Comparisons Descriptive Statistics Section II Continuous Dependent Variable Models 3. Linear Regression 4. Violations of Regression Assumptions Simultaneous Equation Models 6. Panel Data Analysis 7. Background and Exploration in Time Series 8. Forecasting in Time Series: Autoregressive Integrated Moving Average (ARIMA) Models and Extensions 9. Latent Variable Models 10. Duration Models Section III Count and Discrete-Dependent Variable Models11. Count Data Models 12. Logistic Regression 13. Discrete Outcome Models 14. Ordered Probability Models 15. Discrete/Continuous Models Section IV Other Statistical Methods 16. Random Parameters Models 17. Latent Class (Finite Mixture) Models 18. Bivariate and Multivariate Dependent Variable Models 19. Bayesian Statistical Methods