Statistical Techniques for Transportation Engineering
eBook - ePub

Statistical Techniques for Transportation Engineering

  1. 554 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Statistical Techniques for Transportation Engineering

Book details
Table of contents
Citations

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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Yes, you can access Statistical Techniques for Transportation Engineering by Kumar Molugaram,G Shanker Rao in PDF and/or ePUB format, as well as other popular books in Informatik & Computertechnik. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Butterworth-Heinemann
Year
2017
ISBN
9780128116425
Topic
Informatik
Subtopic
Computertechnik

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Preface
  6. Chapter 1. An Overview of Statistical Applications
  7. Chapter 2. Preliminaries
  8. Chapter 3. Probability
  9. Chapter 4. Random Variables
  10. Chapter 5. Curve Fitting
  11. Chapter 6. Correlation and Regression
  12. Chapter 7. Sampling
  13. Chapter 8. Hypothesis Testing
  14. Chapter 9. Chi-Square Distribution
  15. Chapter 10. Test of Significance—Small Samples
  16. Chapter 11. ANOVA (Analysis of Variance)
  17. Chapter 12. Analysis of Time Series
  18. Chapter 13. Index Numbers
  19. Index