Statistics and Data Analysis for Financial Engineering: With R Examples

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 analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the R code and the advanced topics covered. Individual chapters cover, among other topics, multivariate distributions, copulas, Bayesian computations, risk management, and cointegration. Suggested prerequisites are basic knowledge of statistics and probability, matrices and linear algebra, and calculus. There is an appendix on probability, statistics and linear algebra. Practicing financial engineers will also find this book of interest.

Procurando Statistics and Data Analysis for Financial Engineering: With R Examples? Aqui você encontra tudo sobre este livro de David Ruppert em 22 de abril de 2015. Nesta página estão a descrição da obra, os detalhes da edição (719 páginas) e os formatos disponíveis para baixar: epub, pdf, lit, odf. O livro está escrito em Inglês. Se você gosta de Livros Internacionais, Ciências Tecnológicas, Matemática, Aplicada, Probabilidade e Estatística, explore também outros títulos da mesma categoria no Leitura em português. Veja ainda as outras obras de David Ruppert em nosso catálogo.

Número de páginas:719
Isbn 10:1493926136
Isbn 13:9781493926138
Encadernação Statistics and Data Analysis for Financial Engineering: With R Examples:Capa dura
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