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Herausgeber: 
  • Joseph Glaz
  • Markos V. Koutras
  • Handbook of Scan Statistics 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Vorankündigung
    Veröffentlichung:  ANGEKÜNDIGT (Juni 2024)  
    Genre:  Schulbücher 
     
    A / bioinformatics / Biostatistics / Epidemiology & medical statistics / Life sciences# general issues / Mathematics and Statistics / Probability & statistics / Social research & statistics / Statistical Theory and Methods / Statistics / Statistics for Life Sciences, Medicine, Health Sciences / Statistics for Social Sciences, Humanities, Law / Statistics in Life Sciences, Medicine, Health Sciences
    ISBN:  9781461480327 
    EAN-Code: 
    9781461480327 
    Verlag:  Springer Nature EN 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  0 gr 
    Seiten:  813 
    Illustration:  XVI, 813 p. 148 illus., 64 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Bewertung: Keine Bewertung vor Veröffentlichung möglich.
    Inhalt:
    Scan statistics, one of the most active research areas in applied probability and statistics, has seen a tremendous growth during the last 25 years. Google Scholar lists about 3,500 hits to references of articles on scan statistics since the year 2020, resulting in over 850 hits to articles per year. This is mainly due to extensive and diverse areas of science and technology where scan statistics have been employed, including: atmospheric and climate sciences, business, computer science, criminology, ecology, epidemiology, finance, genetics and genomics, geographic sciences, medical and health sciences, nutrition, pharmaceutical sciences, physics, quality control and reliability, social networks and veterinary science.

                    This volume of the Handbook of Scan Statistics is a collection of forty chapters, authored by leading experts in the field, outlines the research and the breadth of applications of scan statistics to  the numerous areas of science and technology listed above. These chapters present an overview of the theory, methods and computational techniques, related to research in the area of scan statistics and outline future developments. It contains extensive references to research articles, books and relevant computer software.

                   Handbook of Scan Statistics is an excellent reference for researchers and graduate students in applied probability and statistics, as well as for scientists in research areas where scan statistics are used. This volume may also be used as a textbook for a graduate level course on scan statistics. 


      
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