The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stochastic differential equations driven by Wiener process, Lévy processes or fractional Brownian motion, as well as CARMA, COGARCH, and Point processes. The package performs various central statistical analyses such as quasi maximum likelihood estimation, adaptive Bayes estimation, structural change point analysis, hypotheses testing, asynchronous covariance estimation, lead-lag estimation, LASSO model selection, and so on. YUIMA also supports stochastic numerical analysis by fast computation of the expected value of functionals of stochastic processes through automatic asymptotic expansion by means of the Malliavin calculus. All models can be multidimensional, multiparametric or non parametric.The book explains briefly the underlying theory for simulation and inference of several classes of stochastic processes and then presents both simulation experiments and applications to real data. Although these processes have been originally proposed in physics and more recently in finance, they are becoming popular also in biology due to the fact the time course experimental data are now available. The YUIMA package, available on CRAN, can be freely downloaded and this companion book will make the user able to start his or her analysis from the first page.
Mastering Commvault Software is the successor to the Commvault Concepts and Design Strategies publication. This book provides updated content from its predecessor as well as new subjects and technologies that are part of the Next Generation Platform. In addition to concepts and best practices, this book also includes over 600 diagrams to conceptually explain how Commvault software works and provides step-by-step examples on how to configure and administer a CommCell environment.
Buy the book Mastering Commvault Software from Ideakart.com.
Cloud Computing with the Windows Azure Platform
You can buy the book from Ideakart.com.