Modern Statistical, Systems, and GPSS Simulation, Second Edition, Karian, Zaven A.

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 76850.00 T
Наличие на складе: Заказано в издательстве.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Автор: Train Kenneth E
Название: Discrete Choice Methods with Simulation
ISBN: 0521747384 ISBN-13(EAN): 9780521747387
Издательство: Cambridge Academ
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Цена: 49630.00 T
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: McElreath, Richard
Название: Statistical Rethinking
ISBN: 036713991X ISBN-13(EAN): 9780367139919
Издательство: Taylor&Francis
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Цена: 83690.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Statistical Rethinking: A Bayesian Course with Examples in R and Stan, Second Edition builds knowledge/confidence in statistical modeling. Pushes readers to perform step-by-step calculations (usually automated.) Unique, computational approach.

Автор: Karian, Zaven A.
Название: Modern Statistical, Systems, and GPSS Simulation, Second Edition
ISBN: 0849339227 ISBN-13(EAN): 9780849339226
Издательство: Taylor&Francis
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Цена: 81650.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Автор: Gamerman, Dani.
Название: Markov Chain Monte Carlo
ISBN: 1584885874 ISBN-13(EAN): 9781584885870
Издательство: Taylor&Francis
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Цена: 102080.00 T
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.

Автор: Huber, Mark L.
Название: Perfect Simulation
ISBN: 0367377195 ISBN-13(EAN): 9780367377199
Издательство: Taylor&Francis
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Цена: 65320.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Exact sampling, specifically coupling from the past (CFTP), allows users to sample exactly from the stationary distribution of a Markov chain. During its nearly 20 years of existence, exact sampling has evolved into perfect simulation, which enables high-dimensional simulation from interacting distributions.

Perfect Simulation illustrates the application of perfect simulation ideas and algorithms to a wide range of problems. The book is one of the first to bring together research on simulation from statistics, physics, finance, computer science, and other areas into a unified framework. You will discover the mechanisms behind creating perfect simulation algorithms for solving an array of problems.

The author describes numerous protocol methodologies for designing algorithms for specific problems. He first examines the commonly used acceptance/rejection (AR) protocol for creating perfect simulation algorithms. He then covers other major protocols, including CFTP; the Fill, Machida, Murdoch, and Rosenthal (FMMR) method; the randomness recycler; retrospective sampling; and partially recursive AR, along with multiple variants of these protocols. The book also shows how perfect simulation methods have been successfully applied to a variety of problems, such as Markov random fields, permutations, stochastic differential equations, spatial point processes, Bayesian posteriors, combinatorial objects, and Markov processes.

Автор: Headrick, Todd C.
Название: Statistical Simulation
ISBN: 1420064908 ISBN-13(EAN): 9781420064902
Издательство: Taylor&Francis
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Цена: 204160.00 T
Наличие на складе: Нет в наличии.

Автор: Ding-Geng (Din) Chen; John Dean Chen
Название: Monte-Carlo Simulation-Based Statistical Modeling
ISBN: 9811098395 ISBN-13(EAN): 9789811098390
Издательство: Springer
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Цена: 121110.00 T
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: Nick T. Thomopoulos
Название: Essentials of Monte Carlo Simulation
ISBN: 1461460212 ISBN-13(EAN): 9781461460213
Издательство: Springer
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Цена: 139750.00 T
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: Moller, Jesper
Название: Statistical Inference and Simulation for Spatial Point Processes
ISBN: 1584882654 ISBN-13(EAN): 9781584882657
Издательство: Taylor&Francis
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Цена: 163330.00 T
Наличие на складе: Нет в наличии.

Автор: V.B. Melas; Stefania Mignani; Paola Monari; Luigi
Название: Topics in Statistical Simulation
ISBN: 1493947842 ISBN-13(EAN): 9781493947843
Издательство: Springer
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Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Department of Statistical Sciences of the University of Bologna in collaboration with the Department of Management and Engineering of the University of Padova, the Department of Statistical Modelling of Saint Petersburg State University, and INFORMS Simulation Society sponsored the Seventh Workshop on Simulation.

Автор: Chjan Lim; Joseph Nebus
Название: Vorticity, Statistical Mechanics, and Monte Carlo Simulation
ISBN: 1441922474 ISBN-13(EAN): 9781441922472
Издательство: Springer
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Цена: 135090.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is drawn from across many active fields of mathematics and physics. With fresh insights into an important field, the book addresses how to access interesting, original, and publishable research in statistical modeling of large-scale flows and related fields.