Monte-Carlo Simulation-Based Statistical Modeling, Ding-Geng (Din) Chen; John Dean Chen
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: What every neuroscientist should know about the mathematical modeling of excitable cells. Combining empirical physiology and nonlinear dynamics, this text provides an introduction to the simulation and modeling of dynamic phenomena in cell biology and neuroscience. It introduces mathematical modeling techniques alongside cellular electrophysiology. Topics include membrane transport and diffusion, the biophysics of excitable membranes, the gating of voltage and ligand-gated ion channels, intracellular calcium signalling, and electrical bursting in neurons and other excitable cell types. It introduces mathematical modeling techniques such as ordinary differential equations, phase plane, and bifurcation analysis of single-compartment neuron models. With analytical and computational problem sets, this book is suitable for life sciences majors, in biology to neuroscience, with one year of calculus, as well as graduate students looking for a primer on membrane excitability and calcium signalling.
Описание: This guide to the latest statistical techniques for estimating the parameters of infectious diseases arises from a groundbreaking collaboration between Hasselt and Antwerp universities in Belgium, and features valuable case studies and software advice.
Автор: Carlo Bertoluzza; Maria A. Gil; Dan A. Ralescu Название: Statistical Modeling, Analysis and Management of Fuzzy Data ISBN: 3790825018 ISBN-13(EAN): 9783790825015 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The contributions in this book state the complementary rather than competitive relationship between Probability and Fuzzy Set Theory and allow solutions to real life problems with suitable combinations of both theories.
Описание: This new book will include the original, unpublished research studies and articles from the Modeling and Simulation Reliability 2018 conference organized by the editor. The chapters, along with case studies, will describe the latest research and developments and will be of interest to researchers, pratitioners, and academics.
Описание: This book shows how simulation can facilitate improvements on the job and in communities. The reader will learn to plan a project and communicate using a charter, how to establish simultaneous intervals on key responses and apply selection and ranking, and more.
Автор: Huber, Mark L. Название: Perfect Simulation ISBN: 0367377195 ISBN-13(EAN): 9780367377199 Издательство: Taylor&Francis Рейтинг: Цена: 9798.00 р. 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: Manly, Bryan F.J. , Navarro Alberto, Jorge A. Название: Randomization, Bootstrap and Monte Carlo Methods in Biology ISBN: 0367512874 ISBN-13(EAN): 9780367512873 Издательство: Taylor&Francis Рейтинг: Цена: 7501.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The fourth edition of the book illustrates a large number of statistical methods with an emphasis on biological applications. It provides comprehensive coverage of computer-intensive applications, with datasets available online.
Автор: Manly, Bryan F.J. , Navarro Alberto, Jorge A. Название: Randomization, Bootstrap and Monte Carlo Methods in Biology ISBN: 0367349949 ISBN-13(EAN): 9780367349943 Издательство: Taylor&Francis Рейтинг: Цена: 19906.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The fourth edition of the book illustrates a large number of statistical methods with an emphasis on biological applications. It provides comprehensive coverage of computer-intensive applications, with datasets available online.
Автор: Brooks, Steve Название: Handbook of Markov Chain Monte Carlo ISBN: 1420079417 ISBN-13(EAN): 9781420079418 Издательство: Taylor&Francis Рейтинг: Цена: 19906.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Headrick, Todd C. Название: Statistical Simulation ISBN: 1420064908 ISBN-13(EAN): 9781420064902 Издательство: Taylor&Francis Рейтинг: Цена: 30624.00 р. Наличие на складе: Нет в наличии.
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