Statistical Techniques for Transportation Engineering

Kumar Molugaram (u. a.)

ISBN 10: 0128115556 / ISBN 13: 9780128115558

Published by Butterworth-Heinemann, 2017

About this Item

Statistical Techniques for Transportation Engineering | Kumar Molugaram (u. a.) | Taschenbuch | Englisch | Butterworth-Heinemann | EAN 9780128115558 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 126702493

Bibliographic Details

• Title: Statistical Techniques for Transportation Engineering
• Publisher: Butterworth-Heinemann
• Publication Date: 2017
• Language: English
• ISBN 10: 0128115556
• ISBN 13: 9780128115558
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 25W x 152H x 229D millimeters 25 millimeters width by 152 millimeters height by 229 millimeters depth
• Weight: 891 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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

About the Authors

Professor, Head of Civil Engineering and Director of Infrastructure, Osmania University, Hyderabad, Telangana State. He published over 55 research papers in various international and National journals and conferences.

G. Shanker Rao has over 35 years of teaching experience. He has been teaching Numerical Analysis, Operations Research, Statisics and Graph Theory for the last 25 years. Presently he is a member of staff in the Department of Mathematics at University College of Engineering (A), Osmania University.