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Autor(en): 
  • Galit Shmueli
  • Jank Wolfgang
  • Statistical Methods in e-Commerce Research 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Oktober 2008  
    Genre:  Schulbücher 
     
    Angewandte Wahrscheinlichkeitsrechnung u. Statistik / Applied Probability & Statistics / computer science / elektronischer Handel / Finanz- u. Wirtschaftsstatistik / Informatik / Statistics / Statistics for Finance, Business & Economics / Statistik / Web Site Development / Electronic Commerce / Web-Entwicklung / Electronic Commerce
    ISBN:  9780470120125 
    EAN-Code: 
    9780470120125 
    Verlag:  Wiley 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Statistics in Practice  
    Dimensionen:  H 241 mm / B 163 mm / D 25 mm 
    Gewicht:  753 gr 
    Seiten:  448 
    Illustration:  Charts: 7 B&W, 0 Color; Drawings: 21 B&W, 0 Color; Maps: 2 B&W, 0 Color; Screen captures: 7 B&W, 0 Color; Tables: 0 B&W, 0 Color; Graphs: 88 B&W, 0 Color 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This groundbreaking book introduces the application of statistical methodologies to e-Commerce data With the expanding presence of technology in today's economic market, the use of the Internet for buying, selling, and investing is growing more popular and public in nature. Statistical Methods in e-Commerce Research is the first book of its kind to focus on the statistical models and methods that are essential in order to analyze information from electronic-commerce (e-Commerce) transactions, identify the challenges that arise with new e-Commerce data structures, and discover new knowledge about consumer activity. This collection gathers over thirty researchers and practitioners from the fields of statistics, computer science, information systems, and marketing to discuss the growing use of statistical methods in e-Commerce research. From privacy protection to economic impact, the book first identifies the many obstacles that are encountered while collecting, cleaning, exploring, and analyzing e-Commerce data. Solutions to these problems are then suggested using established and newly developed statistical and data mining methods. Finally, a look into the future of this evolving area of study is provided through an in-depth discussion of the emerging methods for conducting e-Commerce research. Statistical Methods in e-Commerce Research successfully bridges the gap between statistics and e-Commerce, introducing a statistical approach to solving challenges that arise in the context of online transactions, while also introducing a wide range of e-Commerce applications and problems where novel statistical methodology is warranted. It is an ideal text for courses on e-Commerce at the upper-undergraduate and graduate levels and also serves as a valuable reference for researchers and analysts across a wide array of subject areas, including economics, marketing, and information systems who would like to gain a deeper understanding of the use of statistics in their work.

      



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