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Discrete Choice Methods with Simulation, Train Kenneth E


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Цена: 7445.00р.
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Автор: Train Kenneth E
Название:  Discrete Choice Methods with Simulation
Перевод названия: Кеннет Трейн: Методы дискретного анализа с моделированием
ISBN: 9780521747387
Издательство: Cambridge Academ
Классификация:

ISBN-10: 0521747384
Обложка/Формат: Paperback
Страницы: 400
Вес: 0.60 кг.
Дата издания: 31.07.2009
Язык: English
Издание: 2 revised edition
Иллюстрации: 46 line figures 17 tables
Размер: 228 x 152 x 22
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Англии
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.


      Старое издание
Discrete Choice Methods with Simulation

Автор: Kenneth E. Train
Название: Discrete Choice Methods with Simulation
ISBN: 0521017157 ISBN-13(EAN): 9780521017152
Издательство: Cambridge Academ
Цена: 4592.00 р.
Наличие на складе: Невозможна поставка.
Описание: Focusing on the many advances that are made possible by simulation, this book describes the new generation of discrete choice methods. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.


Time Series Analysis by State Space Methods

Автор: Durbin, James; Koopman, Siem Jan
Название: Time Series Analysis by State Space Methods
ISBN: 019964117X ISBN-13(EAN): 9780199641178
Издательство: Oxford Academ
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Цена: 18216.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This new edition updates Durbin & Koopman`s important text on the state space approach to time series analysis providing a more comprehensive treatment, including the filtering of nonlinear and non-Gaussian series. The book provides an excellent source for the development of practical courses on time series analysis.

Methods for estimation and inference in modern econometrics

Автор: Anatolyev, Stanislav Gospodinov, Nikolay
Название: Methods for estimation and inference in modern econometrics
ISBN: 1439838240 ISBN-13(EAN): 9781439838242
Издательство: Taylor&Francis
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Цена: 15312.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Methods for Estimation and Inference in Modern Econometrics provides a comprehensive introduction to a wide range of emerging topics, such as generalized empirical likelihood estimation and alternative asymptotics under drifting parameterizations, which have not been discussed in detail outside of highly technical research papers. The book also addresses several problems often arising in the analysis of economic data, including weak identification, model misspecification, and possible nonstationarity. The book's appendix provides a review of some basic concepts and results from linear algebra, probability theory, and statistics that are used throughout the book.





Topics covered include:







  • Well-established nonparametric and parametric approaches to estimation and conventional (asymptotic and bootstrap) frameworks for statistical inference


  • Estimation of models based on moment restrictions implied by economic theory, including various method-of-moments estimators for unconditional and conditional moment restriction models, and asymptotic theory for correctly specified and misspecified models


  • Non-conventional asymptotic tools that lead to improved finite sample inference, such as higher-order asymptotic analysis that allows for more accurate approximations via various asymptotic expansions, and asymptotic approximations based on drifting parameter sequences






Offering a unified approach to studying econometric problems, Methods for Estimation and Inference in Modern Econometrics links most of the existing estimation and inference methods in a general framework to help readers synthesize all aspects of modern econometric theory. Various theoretical exercises and suggested solutions are included to facilitate understanding.

Martingale Methods in Financial Modelling

Автор: Musiela Marek
Название: Martingale Methods in Financial Modelling
ISBN: 3540209662 ISBN-13(EAN): 9783540209669
Издательство: Springer
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Цена: 11738.00 р. 16769.00 -30%
Наличие на складе: Есть (1 шт.)
Описание: In the 2nd edition some sections of Part I are omitted for better readability, and a brand new chapter is devoted to volatility risk. As a consequence, hedging of plain-vanilla options and valuation of exotic options are no longer limited to the Black-Scholes framework with constant volatility. The theme of stochastic volatility also reappears systematically in the second part of the book, which has been revised fundamentally, presenting much more detailed analyses of the various interest-rate models available: the authors' perspective throughout is that the choice of a model should be based on the reality of how a particular sector of the financial market functions, never neglecting to examine liquid primary and derivative assets and identifying the sources of trading risk associated. This long-awaited new edition of an outstandingly successful, well-established book, concentrating on the most pertinent and widely accepted modelling approaches, provides the reader with a text focused on practical rather than theoretical aspects of financial modelling.

Discrete Time Dynamic Economic Models

Автор: Ferguson
Название: Discrete Time Dynamic Economic Models
ISBN: 0415753910 ISBN-13(EAN): 9780415753913
Издательство: Taylor&Francis
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Цена: 7042.00 р.
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Описание: Primarily of interest to upper level students carrying out economic modelling, this book bridges a gap between economics and econometric literature by introducing and developing the techniques of discrete time modelling.

Memorized Discrete Systems and Time-delay

Автор: Luo
Название: Memorized Discrete Systems and Time-delay
ISBN: 3319427776 ISBN-13(EAN): 9783319427775
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book examines discrete dynamical systems with memory—nonlinear systems that exist extensively in biological organisms and financial and economic organizations, and time-delay systems that can be discretized into the memorized, discrete dynamical systems. It book further discusses stability and bifurcations of time-delay dynamical systems that can be investigated through memorized dynamical systems as well as bifurcations of memorized nonlinear dynamical systems, discretization methods of time-delay systems, and periodic motions to chaos in nonlinear time-delay systems.

The book helps readers find analytical solutions of MDS, change traditional perturbation analysis in time-delay systems, detect motion complexity and singularity in MDS; and determine stability, bifurcation, and chaos in any time-delay system.
Handbook in Monte Carlo Simulation

Автор: Brandimarte P
Название: Handbook in Monte Carlo Simulation
ISBN: 0470531118 ISBN-13(EAN): 9780470531112
Издательство: Wiley
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Цена: 20426.00 р.
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Описание: Providing readers with an in-depth and comprehensive guide, the Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics presents a timely account of the applications of Monte Carlo methods in financial engineering and economics.

Simulation-based Inference in Econometrics

Автор: Mariano, Roberto S.
Название: Simulation-based Inference in Econometrics
ISBN: 052108802X ISBN-13(EAN): 9780521088022
Издательство: Cambridge Academ
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Цена: 6970.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Simulation-based inference (SBI) is the fastest growing area of research in modern econometrics. This substantial international volume provides an overview of the applications and techniques at the cutting edge of the subject as well as providing a comprehensive survey of the existing literature.

Mathematical Methods and Models in Economic Planning, Management and Budgeting

Автор: Galimkair Mutanov
Название: Mathematical Methods and Models in Economic Planning, Management and Budgeting
ISBN: 3662451417 ISBN-13(EAN): 9783662451410
Издательство: Springer
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Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book describes a system of mathematical models and methods that can be used to analyze real economic and managerial decisions and to improve their effectiveness.

Stochastic methods

Автор: Gardiner, Crispin W.
Название: Stochastic methods
ISBN: 3540707123 ISBN-13(EAN): 9783540707127
Издательство: Springer
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Цена: 11179.00 р.
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Описание: In the third edition of this classic the chapter on quantum Marcov processes has been replaced by a chapter on numerical treatment of stochastic differential equations to make the book even more valuable for practitioners.

Discrete Dynamical Systems

Автор: Oded Galor
Название: Discrete Dynamical Systems
ISBN: 3642071856 ISBN-13(EAN): 9783642071850
Издательство: Springer
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Цена: 8384.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The book characterizes the fundamental factors that govern the quantitative and qualitative trajectories of a variety of deterministic, discrete dynamical systems, providing solution methods for systems that can be solved analytically and methods of qualitative analysis for those systems that do not permit or necessitate an explicit solution.

Discrete Models of Financial Markets

Автор: Capi?ski
Название: Discrete Models of Financial Markets
ISBN: 0521175720 ISBN-13(EAN): 9780521175722
Издательство: Cambridge Academ
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Цена: 6019.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book explains in simple settings the fundamental ideas of financial market modelling and derivative pricing, using the no-arbitrage principle. All proofs are written in a user-friendly, step-by-step manner and following a natural flow of thought. In this way the student learns how to tackle new problems.


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