HUDU

The Art of Regression Modeling in Road Safety

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Dezember 2014

Beschreibung

Beschreibung

This unique book explains how to fashion useful regression models from commonly available data to erect models essential for evidence-based road safety management and research. Composed from techniques and best practices presented over many years of lectures and workshops, The Art of Regression Modeling in Road Safety illustrates that fruitful modeling cannot be done without substantive knowledge about the modeled phenomenon. Class-tested in courses and workshops across North America, the book is ideal for professionals, researchers, university professors, and graduate students with an interest in, or responsibilities related to, road safety.
This book also:
·       Presents for the first time a powerful analytical tool for road safety researchers and practitioners
·       Includes problems and solutions in each chapter as well as data and spreadsheets for running models and PowerPoint presentation slides
·       Features pedagogy well-suited for graduate courses and workshops including problems, solutions, and PowerPoint presentations
·       Equips readers to perform all analyses on a spreadsheet without requiring mastery of complex and costly software
·       Emphasizes understanding without esoteric mathematics
·       Makes assumptions visible and explains their role and consequences

Inhaltsverzeichnis

What is what?- A Safety Performance Function for real populations.
Exploratory data analysis.
Curve fitting.
Preparing for parametric curve-fitting: The 'Solver'.
A first parametric SPF.
Which fit is fitter?- What to optimize?- Adding variables.
Choosing the function behind the data.
Accuracies.
Closure.

Innenansichten

Portrait

Ezra Hauer is Professor Emeritus in the Department of Civil Engineering, University of Toronto, Canada
EAN: 9783319125299
Untertitel: 2015. Auflage. 4 schwarz-weiße und 112 farbige Abbildungen, Bibliographie. eBook. Sprache: Englisch. Dateigröße in MByte: 7.
Verlag: Springer International Publishing
Erscheinungsdatum: Dezember 2014
Seitenanzahl: xvii231
Format: pdf eBook
Kopierschutz: Adobe DRM
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