Автор: Congdon Название: Applied Bayesian Hierarchical Methods ISBN: 1584887206 ISBN-13(EAN): 9781584887201 Издательство: Taylor&Francis Цена: 13611 р. Наличие на складе: Поставка под заказ. Описание: Emphasizing applications and practical computing aspects, this book presents an up-to-date review of Bayesian hierarchical methods. It provides a complete treatment of the main modeling settings, including meta-analysis, time series, nonlinear regression, and multilevel, multivariate, panel, spatial, and survival data. The text includes realistic worked examples from the social and health sciences, mainly employing the WinBUGS package but also incorporating BayesX code. The author also illustrates MCMC sampling from first principles using R. A set of programs linked to the worked examples is available on www.crcpress.com
Автор: Fuente, Angel de la. Название: Mathematical methods and models for economists ISBN: 0521585295 ISBN-13(EAN): 9780521585293 Издательство: Cambridge Academ Рейтинг: Цена: 8675 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is intended as a textbook for a first-year PhD course in mathematics for economists and as a reference for graduate students in economics. It provides a self-contained, rigorous treatment of most of the concepts and techniques required to follow the standard first-year theory sequence in micro and macroeconomics. The topics covered include an introduction to analysis in metric spaces, differential calculus, comparative statics, convexity, static optimization, dynamical systems and dynamic optimization. The book includes a large number of applications to standard economic models and over two hundred fully worked-out problems.
Автор: Hall, Alastair R. Название: Generalized Method of Moments ISBN: 0198775202 ISBN-13(EAN): 9780198775201 Издательство: Oxford Academ Рейтинг: Цена: 11931 р. Наличие на складе: Невозможна поставка.
Описание: This book has become one of the main statistical tools for the analysis of economic and financial data. Designed for both theoreticians and practitioners, this book provides a comprehensive treatment of GMM estimation and inference. All the main statistical results are discussed intuitively and proved formally, and all the inference techniques are illustrated using empirical examples in macroeconomics and finance. This book is the first to provide an intuitive introduction to the method combined with a unified treatment of GMM statistical theory and a survey of recent important developments in the field. About the Series Advanced Texts in Econometrics is a distinguished and rapidly expanding series in which leading econometricians assess recent developments in such areas as stochastic probability, panel and time series data analysis, modeling, and cointegration. In both hardback and affordable paperback, each volume explains the nature and applicability of a topic in greater depth than possible in introductory textbooks or single journal articles. Each definitive work is formatted to be as accessible and convenient for those who are not familiar with the detailed primary literature.
Описание: Examines the key issues and best practice in the cost management of construction projects under traditional contracts and methodologies. This title considers various stages within the life cycle of a project from pre-contract to tendering and post contract.
Описание: Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects in regression models. Interest in the topic has grown, and various practical analytical tools have been developed. This book summarizes developments within the field and, using data examples, illustrates how to analyse various kinds of data using R. It provides a likelihood approach to advanced statistical modelling including generalized linear models with random effects, survival analysis and frailty models, multivariate HGLMs, factor and structural equation models, robust modelling of random effects, models including penalty and variable selection and hypothesis testing. This example-driven book is aimed primarily at researchers and graduate students, who wish to perform data modelling beyond the frequentist framework, and especially for those searching for a bridge between Bayesian and frequentist statistics.
Автор: Farin Gerald, Hamann Bernd, Hagen Hans Название: Hierarchical and Geometrical Methods in Scientific Visualization ISBN: 3540433139 ISBN-13(EAN): 9783540433132 Издательство: Springer Рейтинг: Цена: 31919 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book emerged from a DoE/NSF-sponsored workshop, held in Tahoe City, California, October 2000. About fifty invited participants presented state-of-the-art research on topics such as: - terrain modeling- multiresolution subdivision- wavelet-based scientific data compression- topology-based visualization- data structures, data organization and indexing schemes for scientific data visualization.All invited papers were carefully refereed, resulting in this collection. The book will be of great interest to researchers, graduate students and professionals dealing with scientific visualization and its applications.
Описание: This monograph consists of two volumes and provides a unified comprehensive presentation of a new hierarchical paradigm and discussions of various applications of hierarchical methods for nonlinear electrodynamic problems. Volume 1 is the first book, in which a new hierarchical model for dynamic non-linear systems is described and analysed and a set of new hierarchical principles is discussed. The modern hierarchical asymptotic methods are set forth systematically, taking into account specific features of electrodynamic problems, and the phenomenon of hierarchy in electrodynamics, in itself, is thoroughly discussed from a new point of view. A set of hierarchical asymptotic calculative methods of two types is discussed in detail. The methods of the first type are destined for asymptotic integration of non-linear differential equations with total derivatives and with multifrequency (including multi-scale) non-linear right hand parts. These are the Van der Pol method, Krylov-Bogolyubov method, Bogolyubov-Zubarev method and their hierarchical versions. The methods of the second type include the method of slowly varying amplitudes, the method of averaged characteristics, the methods of averaged kinetic and quasihydrodynamic equations, and some others. These methods are intended for asymptotic integration of non-linear differential equations with partial derivatives and multifrequency (including multi-scale) right hand parts. Detailed calculative technologies for practical application of all mentioned methods are illustrated by examples of real electrodynamic systems (free electron lasers, undulative induction accelerators, systems for transformation of laser signals, etc.). Volume 2 is the first book in which a hierarchical treatment of Undulative Electrodynamic Systems is given and in which such systems like EH-accelerators, EH-formers, EH-coolers, the klystron and multi-harmonic Two-Stream Superheterodyne Free Electron Lasers (TSFELs) are described and analysed. The hierarchical one-particle and self-consistent theory of Undulative Eletrodynamic Systems of different types is set forth. Those include, the single-particle theory of EH-accelerators, EH-formers, EH-coolers, traditional (parametrical) Free Electron Lasers (FELs) with H-ubitron, Dopplertron and EH-ubitron pumping which are exposed from the hierarchical point of view. The self-consistent nonlinear hierarchical theory of parametrical and two-stream superheterodyne FELs is developed. Special attention is paid to phenomena such as explosive instability, phase and polarization discrimination, nonlinear generation of electric and magnetic fields, superheterodyne amplification of electromagnetic waves. The nonlinear theory of multi-harmonic two-stream superheterodyne FELs is given as a demonstration of high practical efficacy of the presented hierarchical methods. The monograph is intended, mainly, for students and postgraduates who specialize in computer calculations in the field of physical electronics, plasma physics and radio physics, optical and electronic engineering, acceleration and various space technologies, as well as applied mechanics. However, the book will also be of great interest to experts, since a significant part is dedicated to a relatively new point of view of some calculation technologies and discusses some new applied systems.Hierarchical Methods is also available as a two-volume set: ISBN 1-4020-0758-2, (Volume 1: ISBN 1-4020-0757-4).
Описание: Understanding of the ocean wave climate is of importance for design and operation of ships and other marine structures and should be of interest to many stakeholders within the maritime and offshore industries. This title addresses modelling of ocean wave climate in space and time, with a focus on long-term temporal trends in the wave climate.
Описание: This book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms with state-of-the-art machine learning techniques. The primary focus of the book is on two algorithms that replace traditional variation operators of evolutionary algorithms, by learning and sampling Bayesian networks: the Bayesian optimization algorithm (BOA) and the hierarchical BOA (hBOA). They provide a scalable solution to a broad class of problems. The book provides an overview of evolutionary algorithms that use probabilistic models to guide their search, motivates and describes BOA and hBOA in a way accessible to a wide audience, and presents numerous results confirming that they are revolutionary approaches to black-box optimization.
Автор: Marc Kery Название: Applied Hierarchical Modeling in Ecology ISBN: 0128013788 ISBN-13(EAN): 9780128013786 Издательство: Elsevier Science Рейтинг: Цена: 11130 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: . Applied Hierarchical Modeling in Ecology: Distribution, Abundance, Species Richness offers a new synthesis of the state-of-the-art of hierarchical models for plant and animal distribution, abundance, and community characteristics such as species richness using data collected in metapopulation designs. These types of data are extremely widespread in ecology and its applications in such areas as biodiversity monitoring and fisheries and wildlife management. . Thisfirstvolumeexplainsstatic models/procedures in the context of hierarchical modelsthat collectively represent a unified approach to ecological research, taking the reader from design, through data collection, and into analyses using a very powerful class of models. Applied Hierarchical Modeling in Ecology, Volume 1serves as an indispensable manual for practicing field biologists, and as a graduate-level text for students in ecology, conservation biology, fisheries/wildlife management, and related fields.
Автор: J. Andrew Royle Название: Hierarchical Modeling and Inference in Ecology, ISBN: 0123740975 ISBN-13(EAN): 9780123740977 Издательство: Elsevier Science Рейтинг: Цена: 9942 р. Наличие на складе: Поставка под заказ.
Описание: A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods.This book describes a general and flexible framework for modeling and inference in ecological systems based on hierarchical models, with a strict focus on the use of probability models and parametric inference. Hierarchical models represent a paradigm shift in the application of statistics to ecological inference problems because they combine explicit models of ecological system structure or dynamics with models of how ecological systems are observed. The principles of hierarchical modeling are developed and applied to problems in population, metapopulation, community, and metacommunity systems. The book provides the first synthetic treatment of many recent methodological advances in ecological modeling and unifies disparate methods and procedures.The authors apply principles of hierarchical modeling to ecological problems, including * occurrence or occupancy models for estimating species distribution* abundance models based on many sampling protocols, including distance sampling* capture-recapture models with individual effects* spatial capture-recapture models based on camera trapping and related methods* population and metapopulation dynamic models* models of biodiversity, community structure and dynamics
Автор: Bebendorf Название: Hierarchical Matrices ISBN: 3540771468 ISBN-13(EAN): 9783540771463 Издательство: Springer Рейтинг: Цена: 24501 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents both the algorithmic aspects of hierarchical matrices as well as their theoretical background. It contains the existing approximation theory for elliptic problems including partial differential operators with nonsmooth coefficients.
Автор: Clark, James S.; Gelfand, Alan E. Название: Hierarchical Modelling for the Environmental Sciences ISBN: 0198569661 ISBN-13(EAN): 9780198569664 Издательство: Oxford Academ Рейтинг: Цена: 11750 р. Наличие на складе: Поставка под заказ.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
