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Autor(en): 
  • Stuart A. Klugman
  • Gordon E. Willmot
  • Harry H. Panjer
  • Loss Models: From Data to Decisions 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Mai 2019  
    Genre:  Schulbücher 
     
    Allg. Finanz- u. Anlagewesen / Business & Finance / Finance & Investments / Finanz- u. Anlagewesen / Finanz- u. Wirtschaftsstatistik / Finanzmathematik / Mathematics / Mathematik / Mathematik in Wirtschaft u. Finanzwesen / Statistics / Statistics for Finance, Business & Economics / Statistik / Wirtschaftsstatistik
    ISBN:  9781119523789 
    EAN-Code: 
    9781119523789 
    Verlag:  Wiley 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Wiley Series in Probability and Statistics  
    Dimensionen:  H 261 mm / B 178 mm / D 25 mm 
    Gewicht:  872 gr 
    Seiten:  560 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    A guide that provides in-depth coverage of modeling techniques used throughout many branches of actuarial science, revised and updated Now in its fifth edition, Loss Models: From Data to Decisions puts the focus on material tested in the Society of Actuaries (SOA) newly revised Exams STAM (Short-Term Actuarial Mathematics) and LTAM (Long-Term Actuarial Mathematics). Updated to reflect these exam changes, this vital resource offers actuaries, and those aspiring to the profession, a practical approach to the concepts and techniques needed to succeed in the profession. The techniques are also valuable for anyone who uses loss data to build models for assessing risks of any kind. Loss Models contains a wealth of examples that highlight the real-world applications of the concepts presented, and puts the emphasis on calculations and spreadsheet implementation. With a focus on the loss process, the book reviews the essential quantitative techniques such as random variables, basic distributional quantities, and the recursive method, and discusses techniques for classifying and creating distributions. Parametric, non-parametric, and Bayesian estimation methods are thoroughly covered. In addition, the authors offer practical advice for choosing an appropriate model. This important text: * Presents a revised and updated edition of the classic guide for actuaries that aligns with newly introduced Exams STAM and LTAM * Contains a wealth of exercises taken from previous exams * Includes fresh and additional content related to the material required by the Society of Actuaries (SOA) and the Canadian Institute of Actuaries (CIA) * Offers a solutions manual available for further insight, and all the data sets and supplemental material are posted on a companion site Written for students and aspiring actuaries who are preparing to take the SOA examinations, Loss Models offers an essential guide to the concepts and techniques of actuarial science.

      
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