The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and ana
Statistics and Data Analysis for Financial Engineering with R examples [2nd ed.]
โ Scribed by David Ruppert, David S. Matteson
- Publisher
- Springer
- Year
- 2015
- Tongue
- English
- Leaves
- 729
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
<p><p>The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical a
<p>The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and
<p><strong>Statistical Analysis of Financial Data</strong> covers the use of statistical analysis and the methods of data science to model and analyze financial data. The first chapter is an overview of financial markets, describing the market operations and using exploratory data analysis to illust
<strong>Statistical Analysis of Financial Data</strong> covers the use of statistical analysis and the methods of data science to model and analyze financial data. The first chapter is an overview of financial markets, describing the market operations and using exploratory data analysis to illustrat
<p><p>Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility and risks. Key features of this textbook are: illustration of concepts with financial markets and economic data, R Labs with real-data