Автор: Train Kenneth E Название: Discrete Choice Methods with Simulation ISBN: 0521747384 ISBN-13(EAN): 9780521747387 Издательство: Cambridge Academ Рейтинг: Цена: 7445.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Each of the major models is covered including logit, generalized extreme value, or GEV, probit, and mixed logit, plus a variety of specifications that build on these basics.
Автор: Guerrero, Hector Название: Excel data analysis ISBN: 3030012786 ISBN-13(EAN): 9783030012786 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a comprehensive and readable introduction to modern business and data analytics.
Описание: This book includes algorithms that illustrate the famous Monte Carlo Methods and the computer simulation of stochastic experiments in the areas of random numbers generation, the simulation of random phenomena, the computation of Pi and e (the base of logarithms), both simple and multiple integration, the computation of areas and volumes, probabilit
Автор: Ding-Geng (Din) Chen; John Dean Chen Название: Monte-Carlo Simulation-Based Statistical Modeling ISBN: 9811098395 ISBN-13(EAN): 9789811098390 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Нет в наличии.
Описание: This book brings together expert researchers engaged in Monte-Carlo simulation-based statistical modeling, offering them a forum to present and discuss recent issues in methodological development as well as public health applications.
Автор: Del Moral, Pierre Название: Mean Field Simulation for Monte Carlo Integration ISBN: 1466504056 ISBN-13(EAN): 9781466504059 Издательство: Taylor&Francis Рейтинг: Цена: 22968.00 р. Наличие на складе: Нет в наличии.
Автор: Carlo Jacoboni; Paolo Lugli Название: The Monte Carlo Method for Semiconductor Device Simulation ISBN: 3211821104 ISBN-13(EAN): 9783211821107 Издательство: Springer Рейтинг: Цена: 28734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume presents the application of the Monte Carlo method to the simulation of semiconductor devices, reviewing the physics of transport in semiconductors, followed by an introduction to the physics of semiconductor devices.
Автор: Nick T. Thomopoulos Название: Essentials of Monte Carlo Simulation ISBN: 1461460212 ISBN-13(EAN): 9781461460213 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on the fundamentals of Monte Carlo methods using basic computer simulation techniques. It illustrates the best ways to select input distributions and parameters with or without sample data.
Автор: Rubinstein Reuven Y. Название: Simulation and the Monte Carlo Method ISBN: 1118632168 ISBN-13(EAN): 9781118632161 Издательство: Wiley Рейтинг: Цена: 17416.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Simulation and the Monte Carlo Method, Third Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the major topics that have emerged in Monte Carlo simulation since the publication of the classic First Edition over more than a quarter of a century ago.
Автор: Reuven Y. Rubinstein; Dirk P. Kroese Название: The Cross-Entropy Method ISBN: 1441919406 ISBN-13(EAN): 9781441919403 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is a comprehensive and accessible introduction to the cross-entropy (CE) method. The CE method started life around 1997 when the first author proposed an adaptive algorithm for rare-event simulation using a cross-entropy minimization technique. It was soon realized that the underlying ideas had a much wider range of application than just in rare-event simulation; they could be readily adapted to tackle quite general combinatorial and multi-extremal optimization problems, including many problems associated with the field of learning algorithms and neural computation. The book is based on an advanced undergraduate course on the CE method, given at the Israel Institute of Technology (Technion) for the last three years. It is aimed at a broad audience of engineers, computer scientists, mathematicians, statisticians and in general anyone, theorist or practitioner, who is interested in smart simulation, fast optimization, learning algorithms, image processing, etc. Our aim was to write a book on the CE method which was accessible to advanced undergraduate students and engineers who simply want to apply the CE method in their work, while at the same time accentu- ating the unifying and novel mathematical ideas behind the CE method, so as to stimulate further research at a postgraduate level.
Описание: Primarily an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level, the primary objective of this book is to initiate students in the art of stochastic modelling. Researchers and students in these areas as well as in physics, biology and the social sciences will find this book of interest.
Автор: Gamerman, Dani. Название: Markov Chain Monte Carlo ISBN: 1584885874 ISBN-13(EAN): 9781584885870 Издательство: Taylor&Francis Рейтинг: Цена: 15312.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Incorporating changes in theory and highlighting various applications, this book presents a comprehensive introduction to the methods of Markov Chain Monte Carlo (MCMC) simulation technique. It incorporates the developments in MCMC, including reversible jump, slice sampling, bridge sampling, path sampling, multiple-try, and delayed rejection.
Название: Stochastic Simulation and Monte Carlo Methods ISBN: 3642393624 ISBN-13(EAN): 9783642393624 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book combines advanced mathematical tools, theoretical analysis of stochastic numerical methods, and practical issues at a high level, so as to provide optimal results on the accuracy of Monte Carlo simulations of stochastic processes.
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