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If you're looking for free educational programs or materials in the US and Canada, we'll help you find what you need for students and learners. ![]() Stochastic Stability of Differential Equations, Second Edition by Rafail Khasminskii English | PDF,EPUB | 2012 | 353 Pages | ISBN : 3642232795 | 8.4 MB Since the publication of the first edition of the present volume in 1980, the stochastic stability of differential equations has become a very popular subject of research in mathematics and engineering. ![]() Stochastic Simulation: Algorithms and Analysis by Søren Asmussen English | PDF | 490 Pages | 2007 | ISBN : 038730679X | 10.6 MB Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. ![]() Stochastic Ordinary and Stochastic Partial Differential Equations: Transition from Microscopic to Macroscopic Equations by Peter Kotelenez English | PDF | 2008 | 449 Pages | ISBN : 0387743162 | 3.9 MB This book provides the first rigorous derivation of mesoscopic and macroscopic equations from a deterministic system of microscopic equations. The microscopic equations are cast in the form of a deterministic (Newtonian) system of coupled nonlinear oscillators for N large particles and infinitely many small particles. The mesoscopic equations are stochastic ordinary differential equations (SODEs) and stochastic partial differential equatuions (SPDEs), and the macroscopic limit is described by a parabolic partial differential equation. ![]() Stochastic Models in Reliability by Terje Aven English | EPUB | 2013 | 307 Pages | ISBN : 1461478936 | 3.7 MB This book provides a comprehensive up-to-date presentation of some of the classical areas of reliability, based on a more advanced probabilistic framework using the modern theory of stochastic processes. This framework allows analysts to formulate general failure models, establish formulae for computing various performance measures, as well as determine how to identify optimal replacement policies in complex situations. ![]() Stochastic Control of Hereditary Systems and Applications by Mou-Hsiung Chang English | PDF | 2008 | 418 Pages | ISBN : 0387758054 | 3.1 MB This research monograph develops the Hamilton-Jacobi-Bellman (HJB) theory through dynamic programming principle for a class of optimal control problems for stochastic hereditary differential systems. It is driven by a standard Brownian motion and with a bounded memory or an infinite but fading memory. ![]() Brendan Reid, "Stealing the Corner Office: The Winning Career Strategies They'll Never Teach You in Business School" English | ISBN: 1601633203 | 2014 | 224 pages | EPUB | 2 MB Stealing the Corner Office is mandatory reading for smart, hardworking managers who always wonder why their seemingly incompetent superiors are so successful. It is a unique collection of controversial but highly effective tactics for middle managers and aspiring executives who want to learn the real secrets for moving up the corporate ladder. Unlike virtually all other business books-which are based on the assumption that corporations are logical and fair-Stealing the Corner Office explores the unconventional tactics people less competent than you use to get ahead and stay ahead. It is your proven playbook to thrive and win in an imperfect corporate world. ![]() Statistical Methods in e-Commerce Research By Wolfgang Jank, Galit Shmueli 2008 | 431 Pages | ISBN: 0470120126 | PDF | 24 MB This groundbreaking book introduces the application of statistical methodologies to e-Commerce data With the expanding presence of technology in today's economic market, the use of the Internet for buying, selling, and investing is growing more popular and public in nature. Statistical Methods in e-Commerce Research is the first book of its kind to focus on the statistical models and methods that are essential in order to analyze information from electronic-commerce (e-Commerce) transactions, identify the challenges that arise with new e-Commerce data structures, and discover new knowledge about consumer activity. This collection gathers over thirty researchers and practitioners from the fields of statistics, computer science, information systems, and marketing to discuss the growing use of statistical methods in e-Commerce research. From privacy protection to economic impact, the book first identifies the many obstacles that are encountered while collecting, cleaning, exploring, and analyzing e-Commerce data. Solutions to these problems are then suggested using established and newly developed statistical and data mining methods. Finally, a look into the future of this evolving area of study is provided through an in-depth discussion of the emerging methods for conducting e-Commerce research. Statistical Methods in e-Commerce Research successfully bridges the gap between statistics and e-Commerce, introducing a statistical approach to solving challenges that arise in the context of online transactions, while also introducing a wide range of e-Commerce applications and problems where novel statistical methodology is warranted. 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