Stochastic Simulation: Algorithms and Analysis, Asmussen, Soren, Glynn, Peter W.
Новое издание
Автор: Asmussen Название: Stochastic Simulation: Algorithms and Analysis ISBN: 038730679X ISBN-13(EAN): 9780387306797 Издательство: Springer Цена: 6981.00 р. Наличие на складе: Есть у поставщикаПоставка под заказ. Описание: 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. This book provides a broad treatment of such sampling-based methods , as well as accompanying mathematical analysis of the convergence properties of the methods discussed . The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. The first half of the book focusses on general methods, whereas the second half discusses model-specific algorithms. Given the wide range of examples, exercises and applications students, practitioners and researchers in probability, statistics, operations research, economics, finance, engineering as well as biology and chemistry and physics will find the book of value. Soren Asmussen is Professor of Applied Probability at Aarhus University, Denmark and Peter Glynn is Thomas Ford Professor of Engineering at Stanford University.
Автор: Gallager Название: Stochastic Processes ISBN: 1107039754 ISBN-13(EAN): 9781107039759 Издательство: Cambridge Academ Рейтинг: Цена: 11246.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This definitive textbook provides a solid introduction to stochastic processes, covering both theory and applications. It is written by one of the world`s leading information theorists, evolving over twenty years of graduate classroom teaching, and is accompanied by over 300 exercises, with online solutions for instructors.
Автор: Sung Название: Algorithms in Bioinformatics ISBN: 1420070339 ISBN-13(EAN): 9781420070330 Издательство: Taylor&Francis Рейтинг: Цена: 13779.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents an introduction to the algorithmic techniques applied in bioinformatics. For each topic, this title details the biological motivation, defines the corresponding computational problems, and includes examples to illustrate each algorithm.
Автор: Gee James Paul Название: Introduction to Discourse Analysis ISBN: 0415725569 ISBN-13(EAN): 9780415725569 Издательство: Taylor&Francis Рейтинг: Цена: 4224.00 р. Наличие на складе: Поставка под заказ.
Описание: Assuming no prior knowledge of linguistics, An Introduction to Discourse Analysis examines the field and presents James Paul Gee`s unique integrated approach which incorporates both a theory of language-in-use and a method of research.
Автор: Gee James Paul Название: How to Do Discourse Analysis ISBN: 0415725585 ISBN-13(EAN): 9780415725583 Издательство: Taylor&Francis Рейтинг: Цена: 6583.00 р. Наличие на складе: Поставка под заказ.
Описание: How to do Discourse Analysis: A Toolkit is the essential guide to doing discourse analysis, from James Paul Gee, bestselling author of An Introduction to Discourse Analysis: Theory and Method. This second edition includes new examples, especially from digital media, a more user-friendly and accessible layout and a companion website.
Автор: SAPRU, R. K. Название: Public Policy: Art and Craft of Policy Analysis - 2/E ISBN: 8120344383 ISBN-13(EAN): 9788120344389 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 3188.00 р. Наличие на складе: Нет в наличии.
Описание: Public policy has assumed considerable importance in response to the complexity of economic downturns, social upheavals, political crises, institutional weaknesses and technology. It is concerned not only with the description but also with the developing scientific knowledge about the forces shaping public policy.This textbook, now in its second edition, provides an in-depth study of the various approaches for policy formulation, implementation and evaluation. It addresses issues in policy analysis, and explains the forces that influence the functioning of executive, legislature, judiciary, civil society and administration. The book reviews and evaluates the public policy literature.It is primarily intended for postgraduate students of Political Science and Public Administration for their courses in Public Policy and Policy Analysis. It will be equally useful for policymakers, planners and bureaucrats concerned with policy management.
Описание: Discrete event systems (DES) have become pervasive in our daily lives. Examples include (but are not restricted to) manufacturing and supply chains, transportation, healthcare, call centers, and financial engineering. However, due to their complexities that often involve millions or even billions of events with many variables and constraints, modeling these stochastic simulations has long been a "hard nut to crack." The advance in available computer technology, especially of cluster and cloud computing, has paved the way for the realization of a number of stochastic simulation optimization for complex discrete event systems. This book will introduce two important techniques initially proposed and developed by Professor Y C Ho and his team; namely perturbation analysis and ordinal optimization for stochastic simulation optimization, and present the state-of-the-art technology, and their future research directions.
A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.
Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.
After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals.
Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.
Автор: Parzen, Emanuel Название: Stochastic processes ISBN: 0898714419 ISBN-13(EAN): 9780898714418 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 9656.00 р. Наличие на складе: Нет в наличии.
Описание: This introductory textbook explains how and why probability models are applied to scientific fields such as medicine, biology, physics, oceanography, economics, and psychology to solve problems about stochastic processes. It does not just show how a problem is solved but explains why by formulating questions and first steps in the solutions.
Описание: A Practitioner`s Guide to Stochastic Frontier Analysis Using Stata provides practitioners with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. Immensely helpful to the applied researcher, it bridges the chasm between theory and practice, expanding the range of applications in which production frontier analysis may be implemented.
Автор: Kabanov Yuri, Pergamenshchikov Sergei Название: Two-Scale Stochastic Systems / Asymptotic Analysis and Control ISBN: 3540653325 ISBN-13(EAN): 9783540653325 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Two-scale systems described by singularly perturbed SDEs have been the subject of ample literature. However, this new monograph develops subjects that were rarely addressed and could be given the collective description "Stochastic Tikhonov-Levinson theory and its applications." The book provides a mathematical apparatus designed to analyze the dynamic behaviour of a randomly perturbed system with fast and slow variables. In contrast to the deterministic Tikhonov-Levinson theory, the basic model is described in a more realistic way by stochastic differential equations. This leads to a number of new theoretical questions but simultaneously allows us to treat in a unified way a surprisingly wide spectrum of applications like fast modulations, approximate filtering, and stochastic approximation.
Автор: Kathy McQuillen Martensen Название: Workbook for Radiographic Image Analysis ISBN: 0323280714 ISBN-13(EAN): 9780323280716 Издательство: Elsevier Science Рейтинг: Цена: 9283.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The companion workbook for Radiographic Analysis, 3rd Edition, provides you with ample opportunities to practice and apply information from the text. With study questions, additional suboptimal images for analysis, and an answer key to guide you through the problems, you'll have all the tools you need to hone your imaging and evaluation skills. Positioning and technique exercises prepare you for success in radiography practice.
Suboptimal images with questions ensure you know and understand what features need to be visible in an image and how to adjust when the images are incorrect or poor. Extra images offer additional practice with identifying poor quality images and recognizing how they are produced. Study questions reinforce text material and prepare you for certification.
NEW! More suboptimal images for analysis and correction help you hone your evaluation skills. NEW! Expansion of pediatric, obesity, and trauma sections provide pertinent information needed for clinical success.
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