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Specification Analysis in the Linear Model, King, Maxwell L. , Giles, David E. A.


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Автор: King, Maxwell L. , Giles, David E. A.
Название:  Specification Analysis in the Linear Model
ISBN: 9780815350552
Издательство: Taylor&Francis
Классификация:

ISBN-10: 0815350554
Обложка/Формат: Paperback
Страницы: 370
Вес: 0.68 кг.
Дата издания: 01.07.2019
Серия: Routledge Library Editions: Econometrics
Язык: English
Размер: 231 x 155 x 23
Читательская аудитория: Postgraduate, research & scholarly
Основная тема: Econometrics
Подзаголовок: (in honour of donald cochrane)
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: Originally published in 1987. This collection deals with various issues of specification in the context of the linear statistical model. Chapters focus on problems associated with autocorrelation of the error term in the linear regression model and include appraisals of early work on this topic by Cochrane and Orcutt.

Time Series Analysis

Автор: Hamilton, James
Название: Time Series Analysis
ISBN: 0691042896 ISBN-13(EAN): 9780691042893
Издательство: Wiley
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Цена: 73920.00 T
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Описание: A graduate-level text which describes the recent dramatic changes that have taken place in the way that researchers analyze economic and financial time series. It explores such important innovations as vector regression, nonlinear time series models and the generalized methods of moments.

Data analysis for business, economics, and policy

Автор: Bekes, Gabor Kezdi, Gabor (university Of Michigan,
Название: Data analysis for business, economics, and policy
ISBN: 1108716202 ISBN-13(EAN): 9781108716208
Издательство: Cambridge Academ
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Цена: 52790.00 T
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Описание: Equips future data analysts with the skills they need to answer questions in business, economics, and public policy. Covering methods of exploratory, predictive, and causal analysis, it includes case studies that use real-world data and related data exercises supported by code (Stata, R, Python) and data available online.

Consensus Problem of Delayed Linear Multi-agent Systems

Автор: Liu
Название: Consensus Problem of Delayed Linear Multi-agent Systems
ISBN: 981102491X ISBN-13(EAN): 9789811024917
Издательство: Springer
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Цена: 51230.00 T
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Описание: In the context of coupled-coordination control mechanisms, this book focuses on the delay robustness of consensus problems with asynchronously coupled and synchronously coupled consensus algorithms respectively.

Specification, Estimation, and Analysis of Macroeconomic Models

Автор: Fair
Название: Specification, Estimation, and Analysis of Macroeconomic Models
ISBN: 0674831802 ISBN-13(EAN): 9780674831803
Издательство: Harvard University Press
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Цена: 75100.00 T
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Описание: In the late eighteenth and nineteenth centuries, legions of English citizens headed north. Why and how did Scotland, once avoided by travelers, become a popular site for English tourists? Katherine Haldane Grenier uses published and unpublished travel accounts, guidebooks, and the popular press to examine the evolution of a false view of Scotland as untouched by nineteenth-century transformations.

Econometric Model Specification: Consistent Model Specification Tests And Semi-Nonparametric Modeling And Inference

Автор: Bierens Herman J
Название: Econometric Model Specification: Consistent Model Specification Tests And Semi-Nonparametric Modeling And Inference
ISBN: 9814740500 ISBN-13(EAN): 9789814740500
Издательство: World Scientific Publishing
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Цена: 216480.00 T
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Описание: Econometric Model Specification reviews and extends the studies on consistent model specification testing and semi-nonparametric modeling and inference.

Monte-Carlo Methods & Stochastic Pr

Автор: Gobet
Название: Monte-Carlo Methods & Stochastic Pr
ISBN: 1498746225 ISBN-13(EAN): 9781498746229
Издательство: Taylor&Francis
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Цена: 91860.00 T
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Описание:

Developed from the author's course at the Ecole Polytechnique, Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear focuses on the simulation of stochastic processes in continuous time and their link with partial differential equations (PDEs). It covers linear and nonlinear problems in biology, finance, geophysics, mechanics, chemistry, and other application areas. The text also thoroughly develops the problem of numerical integration and computation of expectation by the Monte-Carlo method.

The book begins with a history of Monte-Carlo methods and an overview of three typical Monte-Carlo problems: numerical integration and computation of expectation, simulation of complex distributions, and stochastic optimization. The remainder of the text is organized in three parts of progressive difficulty. The first part presents basic tools for stochastic simulation and analysis of algorithm convergence. The second part describes Monte-Carlo methods for the simulation of stochastic differential equations. The final part discusses the simulation of non-linear dynamics.

Numerical linear algebra and optimization /

Автор: Gill, Philip E.,
Название: Numerical linear algebra and optimization /
ISBN: 1611976561 ISBN-13(EAN): 9781611976564
Издательство: Mare Nostrum (Eurospan)
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Цена: 74410.00 T
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Описание: Numerical Linear Algebra and Optimization covers the fundamentals of closely related topics: linear systems (linear equations and least-squares) and linear programming (optimizing a linear function subject to linear constraints). For each problem class, stable and efficient numerical algorithms intended for a finite-precision environment are derived and analyzed. In 1991, when the book first appeared, these topics were rarely taught with a unified perspective, and, somewhat surprisingly, this remains true almost 30 years later. As a result, some of the material in this book can be difficult to find elsewhere—in particular, techniques for updating the LU factorization, descriptions of the simplex method applied to all-inequality form, and the analysis of what happens when using an approximate inverse to solve Ax=b.This book is appropriate for students who want to learn about numerical techniques for solving linear systems and/or linear programming using the simplex method.

Two-Sided Matching: A Study in Game-Theoretic Modeling and Analysis (Econometric Society Monographs)

Автор: Al Roth and Marilda Sotomayor
Название: Two-Sided Matching: A Study in Game-Theoretic Modeling and Analysis (Econometric Society Monographs)
ISBN: 0521437881 ISBN-13(EAN): 9780521437882
Издательство: Cambridge Academ
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Цена: 47520.00 T
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Описание: Two-sided matching provides a model of search processes such as those between firms and workers in labor markets or between buyers and sellers in auctions. This text provides a comprehensive account of recent results concerning the game-theoretic analysis of two-sided matching.

Methods and Applications of Linear Models

Автор: Hocking Ronald R
Название: Methods and Applications of Linear Models
ISBN: 1118329503 ISBN-13(EAN): 9781118329504
Издательство: Wiley
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Цена: 134060.00 T
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Описание: Praise for the Second Edition "An essential desktop reference book... it should definitely be on your bookshelf.

The Analysis of Linear Economic Systems

Название: The Analysis of Linear Economic Systems
ISBN: 041574654X ISBN-13(EAN): 9780415746540
Издательство: Taylor&Francis
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Цена: 57150.00 T
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Описание: This book makes Maurice Potron`s work available in the English language for the first time, whose original ideas on input-output models and duality properties between quantities and prices are now standard tools in economic analysis.

Applied Regression Analysis and Generalized Linear Models

Автор: Fox John
Название: Applied Regression Analysis and Generalized Linear Models
ISBN: 1452205663 ISBN-13(EAN): 9781452205663
Издательство: Sage Publications
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Цена: 166850.00 T
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Описание: Providing a modern treatment of regression analysis, linear models and closely related methods, this book introduces students to one of the most useful and widely used statistical tools for social research.

Regression Modeling Strategies

Название: Regression Modeling Strategies
ISBN: 3319194240 ISBN-13(EAN): 9783319194240
Издательство: Springer
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Цена: 83850.00 T
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Описание: Most of the methods in this text apply to all regression models, but special emphasis is given to multiple regression using generalised least squares for longitudinal data, the binary logistic model, models for ordinal responses, parametric survival regression models and the Cox semi parametric survival model.


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