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Student Solutions Manual to Accompany Loss Models. From Data to Decisions

Student Solutions Manual to Accompany Loss Models. From Data to Decisions
Автор: Gordon Willmot E.
Дата написания:
Издательство: John Wiley & Sons Limited
ISBN: 9781119538035
Цена: 4268.15 Руб.
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Loss Models: From Data to Decisions, Fifth Edition continues to supply actuaries with a practical approach to the key concepts and techniques needed on the job. With updated material and extensive examples, the book successfully provides the essential methods for using available data to construct models for the frequency and severity of future adverse outcomes. The book continues to equip readers with the tools needed for the construction and analysis of mathematical models that describe the process by which funds flow into and out of an insurance system. Focusing on the loss process, the authors explore key quantitative techniques including random variables, basic distributional quantities, and the recursive method, and discuss techniques for classifying and creating distributions. Parametric, non-parametric, and Bayesian estimation methods are thoroughly covered along with advice for choosing an appropriate model. Throughout the book, numerous examples showcase the real-world applications of the presented concepts, with an emphasis on calculations and spreadsheet implementation. Loss Models: From Data to Decisions, Fifth Edition is an indispensable resource for students and aspiring actuaries who are preparing to take the SOA and CAS examinations. The book is also a valuable reference for professional actuaries, actuarial students, and anyone who works with loss and risk models.

Гениальная мысль: Есть книги, которые надо только отведать, есть такие, которые лучше всего проглотить, и лишь немногие стоит разжевать и переварить; иначе говоря, одни книги следует прочесть лишь частично, другие - без особого прилежания и лишь немногие - целиком и внимательно. (Бэкон Ф.)

Отличная шутка: Помоги мне."... И так прошла неделя... "Господи, можно подумать, что я со