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Statistical and Econometric Methods for Transportation Data describes the techniques most useful for modeling the many complex aspects of transportation, such as travel demand, safety, emissions, and the environment. Taking care not to overwhelm readers with statistical theory, the authors clearly and concisely present the relevant analytical methods in quantitative chapters built on transportation case studies. Mastering this material enables readers to:
Ideal as both a textbook and reference, this book makes three unique contributions to transportation practice and education. First, it presents a host of analytical techniques-both common and sophisticated-used to model transportation phenomena. Second, it provides a wealth of examples and case studies, and third, it specifically targets present and future transportation professionals. It builds the foundation they need not only to apply analytical models but also to understand and interpret results published elsewhere.
| Pt. I | Fundamentals | |
| 1 | Statistical Inference I: Descriptive Statistics | 3 |
| 2 | Statistical Inference II: Interval Estimation, Hypothesis Testing, and Population Comparisons | 23 |
| Pt. II | Continuous Dependent Variable Models | |
| 3 | Linear Regression | 63 |
| 4 | Violations of Regression Assumptions | 121 |
| 5 | Simultaneous Equation Models | 143 |
| 6 | Panel Data Analysis | 155 |
| 7 | Time-Series Analysis | 169 |
| 8 | Latent Variable Models | 193 |
| 9 | Duration Models | 217 |
| Pt. III | Count and Discrete Dependent Variable Models | |
| 10 | Count Data Models | 241 |
| 11 | Discrete Outcome Models | 257 |
| 12 | Discrete/Continuous Models | 297 |
| App. A | Statistical Fundamentals | 309 |
| App. B | Glossary of Terms | 327 |
| App. C | Statistical Tables | 367 |
| App. D | Variable Transformations | 389 |
| References | 395 | |
| Index | 413 |
Overview
Statistical ...