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Computational Actuarial Science with R (Chapman & Hall/CRC The R Series) [Print Replica] Kindle Edition


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Produktbeschreibungen

Pressestimmen

" worthwhile reading and can be recommended to anyone who is interested in the computational aspects of actuarial science. The book contains many detailed worked examples, with R code fully integrated into the text. the book provides information and code that readers with any quantitative background can gain something from. It will naturally appeal to actuaries of all calibers, but it has a much wider audience of quantitative analysts using R for statistical modeling and data analysis in various fields. There are also good reasons to recommend this book to any science library."
Journal of the Royal Statistical Society, Series A, 2015"

" the main objective of the book is that the reader gets interested in the topic and plays with the presented models and R codes in an active way. I have experienced that this goal can be easily reached for a large audience of readers because the presentation of the various arguments encourages an active learning of the concepts without being burdened by the theory. "
"International Statistical Review, "83, 2015

" worthwhile reading and can be recommended to anyone who is interested in the computational aspects of actuarial science. The book contains many detailed worked examples, with R code fully integrated into the text. the book provides information and code that readers with any quantitative background can gain something from. It will naturally appeal to actuaries of all calibers, but it has a much wider audience of quantitative analysts using R for statistical modeling and data analysis in various fields. There are also good reasons to recommend this book to any science library."
Journal of the Royal Statistical Society, Series A, 2015"

Kurzbeschreibung

A Hands-On Approach to Understanding and Using Actuarial Models


Computational Actuarial Science with R provides an introduction to the computational aspects of actuarial science. Using simple R code, the book helps you understand the algorithms involved in actuarial computations. It also covers more advanced topics, such as parallel computing and C/C++ embedded codes.



After an introduction to the R language, the book is divided into four parts. The first one addresses methodology and statistical modeling issues. The second part discusses the computational facets of life insurance, including life contingencies calculations and prospective life tables. Focusing on finance from an actuarial perspective, the next part presents techniques for modeling stock prices, nonlinear time series, yield curves, interest rates, and portfolio optimization. The last part explains how to use R to deal with computational issues of nonlife insurance.



Taking a do-it-yourself approach to understanding algorithms, this book demystifies the computational aspects of actuarial science. It shows that even complex computations can usually be done without too much trouble. Datasets used in the text are available in an R package (CASdatasets).


Produktinformation

  • Format: Kindle Edition
  • Dateigröße: 39941 KB
  • Seitenzahl der Print-Ausgabe: 656 Seiten
  • Verlag: Chapman and Hall/CRC; Auflage: 1 (26. August 2014)
  • Verkauf durch: Amazon Media EU S.à r.l.
  • Sprache: Englisch
  • ASIN: B00MMOJ3ZA
  • Text-to-Speech (Vorlesemodus): Nicht aktiviert
  • X-Ray:
  • Word Wise: Nicht aktiviert
  • Verbesserter Schriftsatz: Nicht aktiviert
  • Durchschnittliche Kundenbewertung: Schreiben Sie die erste Bewertung
  • Amazon Bestseller-Rang: #732.280 Bezahlt in Kindle-Shop (Siehe Top 100 Bezahlt in Kindle-Shop)

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Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)

Amazon.com: 4.5 von 5 Sternen 4 Rezensionen
2 von 2 Kunden fanden die folgende Rezension hilfreich
4.0 von 5 Sternen It is a great book. Comprehensive and with good information 16. Dezember 2014
Von S. Wang - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
It is a great book. Comprehensive and with good information.

One thing I found difficult is the dataset. After looking around I found a download site for installing the dataset package, but still could not find dataset for chapter 14, for example. I found one github site for source code, but that is incomplete. The book would be more approachable if its supplemental materials are made easily available.
1 von 1 Kunden fanden die folgende Rezension hilfreich
4.0 von 5 Sternen Great Book 7. März 2015
Von Colin Thompson - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
I enjoyed reading through this book. The material was well explained and code was clear. The only reason I didn't give it 5 stars is it doesn't appear to have answers to the questions in each section. Some sections have answers posted on the web by the sections co-authors.

I do modeling work in operational risk and this book is perfect for working with R. Looking forward to Dr. Charpentier's next work.
2 von 3 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen A mus have for anyone interested in updating skills with R in actuarial applications 14. September 2014
Von Antonio Cecilio Miranda Tejeida - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
I've been waiting for this book about a year since I got a recommendation at a course in pricing with glm given by Alan Engelhardt from Cybaea and I must say I just give it a superficial read since I got my hands on it (only two days ago) and I am loving it, despite the fact that it is more concerned with computation it is also about implementations I advice that anyone truly interested harvesting most of it should have bibliographic references and from there possibilities are the sky, anyone who has followed the author's blog knows how he explains most of the topics.

The printing has many faded parts but anything from it (the content) is supperb
5.0 von 5 Sternen This is an excellent cook book 19. Mai 2015
Von Robert L McPherson - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
This is an excellent cook book, of sorts, with many recipes for implementing a wide variety of methods in R, to solve a very wide variety of analytical problems in insurance.
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