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, it combines quantitative concepts with practical programming applications for readers studying statistics, finance, data analysis, or related mathematical disciplines.
About This Book
Statistics and Data Analysis for Financial Engineering presents statistical concepts in the context of financial engineering.
The book focuses on data analysis and quantitative methods relevant to finance.
Examples in R provide a practical programming component for applying the material.
Written by David Ruppert and David S. Matteson, this volume appears in the Springer Texts in Statistics series.
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