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 Introduction to R for Quantitative Finance
R is a statistical computing language that's ideal for answering quantitative finance questions. This book gives you both theory and practice, all in clear language with stacks of real-world examples. Ideal for R beginners or expert alike.
Overview
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Use time series analysis to model and forecast house...
| | Handbook of Market Risk
A ONE-STOP GUIDE FOR THE THEORIES, APPLICATIONS, AND STATISTICAL METHODOLOGIES OF MARKET RISK
Understanding and investigating the impacts of market risk on the financial landscape is crucial in preventing crises. Written by a hedge fund specialist, the Handbook of Market Risk is the comprehensive guide to the subject of... | | Ullmann's Fine Chemicals, 3 Volume Set
A compilation of 76 articles from the ULLMANN's Encyclopedia of Industrial Chemistry, this three-volume handbook contains a wealth of information on the production and industrial use of more than 2,000 of the most important fine chemicals, from "Alcohols" to "Urea Derivatives".
Chemical and... |
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Asymmetric Synthesis of Natural Products
Asymmetric Synthesis of Natural Products, 2nd Edition introduces students to this rapidly growing field of organic chemistry. The initial chapters present the foundations of asymmetric synthesis, including the theory and applications of individual asymmetric reactions. This is followed by chapters on each of the major individual... | | Learning SciPy for Numerical and Scientific Computing Second Edition
Quick solutions to complex numerical problems in physics, applied mathematics, and science with SciPy
About This Book
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Use different modules and routines from the SciPy library quickly and efficiently
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Create vectors and matrices and learn how to perform standard mathematical operations...
| | Guide to Computational Geometry Processing: Foundations, Algorithms, and Methods
This book reviews the algorithms for processing geometric data, with a practical focus on important techniques not covered by traditional courses on computer vision and computer graphics. Features: presents an overview of the underlying mathematical theory, covering vector spaces, metric space, affine spaces, differential geometry, and finite... |
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