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.
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1. An Overview of Statistical Applications2. Preliminaries3. Probability4. Random Variables5. Curve Fitting6. Correlation and Regression7. Sampling8. Hypothesis Testing9. Chi-Square Distribution10. Test of Significance—Small Samples11. ANOVA (Analysis of Variance)12. Analysis of Time Series13. Index Numbers
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This practical guide explores a range of statistical techniques applicable to a wide variety of transportation engineering challenges
This practical guide explores a range of statistical techniques applicable to 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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Product details
ISBN
9780128115558
Published
2017-03-13
Publisher
Elsevier - Health Sciences Division
Weight
270 gr
Height
229 mm
Width
152 mm
Age
P, 06
Language
Product language
Engelsk
Format
Product format
Heftet
Number of pages
554