Springer actuarial
ShareCopied to clipboardSpringer actuarial is a book series. It includes 4 books, written by 3 different authors.
Key facts
- number of authors: 3 people
- number of books: 4
- books: A multivariate claim count model for applications in insurance, Effective statistical learning methods for actuaries I : GLMs and extensions, Effective statistical learning methods for actuaries. III, Neural networks and extensions
- authors: Daniela Anna Selch, Michel Denuit
- publication dates: 2018, 2019, 2019
- book publishers: : Springer
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