Statistics and Data Analysis for Financial Engineering 在线电子书 图书标签: 金融 Finance Statistics 金融工程 R 统计学 统计 Financial_Engineering
发表于2025-01-31
Statistics and Data Analysis for Financial Engineering 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025
不敢说我看过很多的金融数学方面的书,但是这一本是目前我读过最偏向于实用的。之前读过investment science, 那一本书虽然很多insight非常值得细读,但是主要偏向于理论。而这本书有一个和突出的特点就是他书后有R的习题,可以认真的做,收获还是很大的。
评分我觉得很赞!尤其是lab session,边学边练哦耶!
评分typos。。。in general a good book. like the R lab section.
评分按照 coursera的 compfina 在读. 1,2,3,4,5,6,7,9,11,12,13 charpter;2012-11-10课程学完,
评分非常好的教材,主要是言之有物,分析都会从例子的角度讲述,因此很好理解,可惜就是没视频(被Stat 110惯坏了)。话说我最喜欢的居然是exploratory data analysis那章。。。 solution 见 https://people.orie.cornell.edu/davidr/SDAFE2
David Ruppert is Andrew Schultz, Jr., Professor of Engineering and Professor of Statistical Science, School of Operations Research and Information Engineering, Cornell University, where he teaches statistics and financial engineering and is a member of the Program in Financial Engineering. His research areas include asymptotic theory, semiparametric regression, functional data analysis, biostatistics, model calibration, measurement error, and astrostatistics. Professor Ruppert received his PhD in Statistics at Michigan State University. He is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics and won the Wilcoxon prize. He is Editor of the Electronic Journal of Statistics, former Editor of the Institute of Mathematical Statistics's Lecture Notes--Monographs Series, and former Associate Editor of several major statistics journals. Professor Ruppert has published over 100 scientific papers and four books: Transformation and Weighting in Regression, Measurement Error in Nonlinear Models, Semiparametric Regression, and Statistics and Finance: An Introduction.
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 exercises, and integration of graphical and analytic methods for modeling and diagnosing modeling errors. Despite some overlap with the author's undergraduate textbook Statistics and Finance: An Introduction, this book differs from that earlier volume in several important aspects: it is graduate-level; computations and graphics are done in R; and many advanced topics are covered, for example, multivariate distributions, copulas, Bayesian computations, VaR and expected shortfall, and cointegration. The prerequisites are basic statistics and probability, matrices and linear algebra, and calculus. Some exposure to finance is helpful.
想看一下,但是英文的看的挺吃力,不知道有没有翻译过来啊,很想学习一下,最近在忙着金融建模,为什么字数还不够啊AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
评分想看一下,但是英文的看的挺吃力,不知道有没有翻译过来啊,很想学习一下,最近在忙着金融建模,为什么字数还不够啊AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
评分想看一下,但是英文的看的挺吃力,不知道有没有翻译过来啊,很想学习一下,最近在忙着金融建模,为什么字数还不够啊AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
评分想看一下,但是英文的看的挺吃力,不知道有没有翻译过来啊,很想学习一下,最近在忙着金融建模,为什么字数还不够啊AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
评分想看一下,但是英文的看的挺吃力,不知道有没有翻译过来啊,很想学习一下,最近在忙着金融建模,为什么字数还不够啊AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
Statistics and Data Analysis for Financial Engineering 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025