R Programming and Its Applications in Financial Mathematics - Info and Reading Options
By Daisuke Yoshikawa, Shuichi Ohsaki and Jori Ruppert-Felsot
"R Programming and Its Applications in Financial Mathematics" was published by Taylor & Francis Group in 2021 - Boca Raton London New York, the book is classified in Business mathematics genre, it has 248 pages and the language of the book is English.
“R Programming and Its Applications in Financial Mathematics” Metadata:
- Title: ➤ R Programming and Its Applications in Financial Mathematics
- Authors: Daisuke YoshikawaShuichi OhsakiJori Ruppert-Felsot
- Language: English
- Number of Pages: 248
- Is Family Friendly: Yes - No Mature Content
- Publisher: Taylor & Francis Group
- Publish Date: 2021
- Publish Location: Boca Raton London New York
- Genres: Business mathematics
“R Programming and Its Applications in Financial Mathematics” Subjects and Themes:
- Subjects: ➤ Econometrics - Economics, mathematical - Business mathematics - Finance, mathematical models - Finance, data processing - Programming languages (electronic computers) - Finance - Mathematical models - Data processing - R (Computer program language) - BUSINESS & ECONOMICS
Edition Specifications:
- Pagination: 248
Edition Identifiers:
- Google Books ID: zigezgEACAAJ
- The Open Library ID: OL34704200M - OL21317220W
- ISBN-13: 9780367781477
- ISBN-10: 0367781476
- All ISBNs: 9780367781477 - 0367781476
AI-generated Review of “R Programming and Its Applications in Financial Mathematics”:
Snippets and Summary:
This book provides various calculation methods for financial mathematics utilizing R programming, and includes basic finance theories and statistical analysis.
"R Programming and Its Applications in Financial Mathematics" Description:
Google Books:
This book provides various calculation methods for financial mathematics utilizing R programming, and includes basic finance theories and statistical analysis. In addition to the ample applications of R programming provided, the book delivers simple descriptions to assist readers in the immediate application of the methods to financial data.
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