
- 554 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Statistical Techniques for Transportation Engineering
About this book
Statistical Techniques for Transportation Engineering is written with a systematic approach in mind and covers a full range of data analysis topics, from the introductory level (basic probability, measures of dispersion, random variable, discrete and continuous distributions) through more generally used techniques (common statistical distributions, hypothesis testing), to advanced analysis and statistical modeling techniques (regression, AnoVa, and time series). The book also provides worked out examples and solved problems for a wide variety of transportation engineering challenges.- Demonstrates how to effectively interpret, summarize, and report transportation data using appropriate statistical descriptors- Teaches how to identify and apply appropriate analysis methods for transportation data- Explains how to evaluate transportation proposals and schemes with statistical rigor
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Information
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Preface
- Chapter 1. An Overview of Statistical Applications
- Chapter 2. Preliminaries
- Chapter 3. Probability
- Chapter 4. Random Variables
- Chapter 5. Curve Fitting
- Chapter 6. Correlation and Regression
- Chapter 7. Sampling
- Chapter 8. Hypothesis Testing
- Chapter 9. Chi-Square Distribution
- Chapter 10. Test of SignificanceāSmall Samples
- Chapter 11. ANOVA (Analysis of Variance)
- Chapter 12. Analysis of Time Series
- Chapter 13. Index Numbers
- Index