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...

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Bibliographic Details
Main Authors: Molugaram, Kumar (Author), Rao, G (Author), Shah, Anil (Author), Davergave, Naresh (Author)
Corporate Author: Safari, an O'Reilly Media Company
Format: eBook
Language:English
Published: Butterworth-Heinemann, 2017.
Edition:1st edition.
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Online Access:Connect to this electronic resource
Description
Summary: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
Item Description:Electronic resource.
Physical Description:1 online resource (554 pages)
Format:Mode of access: World Wide Web.