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Herausgeber: 
  • Samuel Kotz
    Autor(en): 
  • Felix Famoye
  • Prem C. Consul
  • Lagrangian Probability Distributions 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Dezember 2005  
    Genre:  Schulbücher 
     
    A / Algebra / Angewandte Mathematik / Applications of Mathematics / Applied mathematics / Economics, finance, business & management / Engineering mathematics / Mathematics and Statistics
    ISBN:  9780817643652 
    EAN-Code: 
    9780817643652 
    Verlag:  Springer Basel 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 254 mm / B 178 mm / D 23 mm 
    Gewicht:  869 gr 
    Seiten:  352 
    Illustration:  XX, 352 p. 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:

    Lagrangian expansions can be used to obtain numerous useful probability models, which have been applied to real life situations including, but not limited to: branching processes, queuing processes, stochastic processes, environmental toxicology, diffusion of information, ecology, strikes in industries, sales of new products, and production targets for optimum profits. This book presents a comprehensive, systematic treatment of the class of Lagrangian probability distributions, along with some of its families, their properties, and important applications.

    Key features:

    * Fills a gap in book literature

    * Examines many new Lagrangian probability distributions, their numerous families, general and specific properties, and applications to a variety of different fields

    * Presents background mathematical and statistical formulas for easy reference

    * Detailed bibliography and index

    * Exercises in many chapters

    Graduate students and researchers with a good knowledge of standard statistical techniques and an interest in Lagrangian probability distributions will find this work valuable. It may be used as a reference text or in courses and seminars on Distribution Theory and Lagrangian Distributions. Applied scientists and researchers in environmental statistics, reliability, sales management, epidemiology, operations research, optimization in manufacturing and marketing, and infectious disease control will benefit immensely from the various applications in the book.

      



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