Statistical Techniques for Transportation Engineering

__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.

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

Content: Front-matter,Copyright,PrefaceEntitled to full textChapter 1 - An Overview of Statistical Applications, Pages 1-23 Chapter 2 - Preliminaries, Pages 25-91 Chapter 3 - Probability, Pages 93-112 Chapter 4 - Random Variables, Pages 113-279 Chapter 5 - Curve Fitting, Pages 281-292 Chapter 6 - Correlation and Regression, Pages 293-329 Chapter 7 - Sampling, Pages 331-338 Chapter 8 - Hypothesis Testing, Pages 339-382 Chapter 9 - Chi-Square Distribution, Pages 383-413 Chapter 10 - Test of Significance—Small Samples, Pages 415-450 Chapter 11 - ANOVA (Analysis of Variance), Pages 451-462 Chapter 12 - Analysis of Time Series, Pages 463-489 Chapter 13 - Index Numbers, Pages 491-538 Index, Pages 539-541 "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."--Publisher's description Providing worked out examples and solved problems for a wide variety of transportation engineering challenges, this book demonstrates how to effectively interpret, summarize, and report transportation data using appropriate statistical descriptors. -- Edited summary from book