Statistics and Data Analysis for Financial Engineering: with R examples (Springer Texts in Statistics)
by David Ruppert, David S. Matteson
Statistics and Data Analysis for Financial Engineering introduces statistical and data-analysis methods within a financial engineering context. With examples in R, the book connects quantitative concepts to practical computation and finance-related applications, making it a useful text for students and readers developing skills in statistics, programming, and financial analysis.
About This Book
Statistics and Data Analysis for Financial Engineering presents statistical methods in the context of financial engineering.
The book combines discussion of data analysis with examples using the R programming language.
Its subject matter connects quantitative techniques with finance-oriented applications.
Published as part of the Springer Texts in Statistics series, it is suited to study and reference in statistics, data analysis, and financial engineering.
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