A Study on Road Traffic and Accidents in Tambaram Suburban , Chennai

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Details

This introductory text cover road safety engagement and accidents but also provides real world problem analysis and examples to enable students to understand and apply Statistical analysis in outside the class room. Introduces Statistical aspects of employee stress in simple and clear fashion, in order to cater for students these areas.The mix of theory and practical applications this text is directly suitable both under graduate social science and science students. This Book covered the general introduction in Chapter 1, Chapter 2 focus on respondent general behavior and their demo-graphical details of road accidents in Tambaram Sub urban.Chapter 3 attention on factor analysis to identify the inherent structural patterns of underling the road accidents parameters.Chapter 4 presents a detailed description of the accident parameters and their significance in the evaluation of the accident performance.Chapter 5 mainly concentrates on discriminant analysis and SOM to verify the cluster whether the accident parameters have been correctly classified.The implications of the main findings of this study are summarized in the end of this dissertation in chapter 6.

Autorentext

Dr. Manimannan G. Assistant Professor of Statistics, TMG College of Arts & Science, Chennai, India, He has published more than 70 research papers in various Journals.Dr.Salomi M. Assistant Professor of Statistics, Madras Christian College,Chennai, India, She has published more than 20 research papers in various journals.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786202917223
    • Sprache Englisch
    • Größe H220mm x B150mm x T6mm
    • Jahr 2020
    • EAN 9786202917223
    • Format Kartonierter Einband
    • ISBN 6202917229
    • Veröffentlichung 25.09.2020
    • Titel A Study on Road Traffic and Accidents in Tambaram Suburban , Chennai
    • Autor Manimannan Ganesan , Salomi M
    • Untertitel A Statistical Approach
    • Gewicht 155g
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 92
    • Genre Mathematik

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