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Introduction to Econometrics: International Edition

Introduction to Econometrics: International Edition

Автор: James Stock
Название:  Introduction to Econometrics: International Edition   (Введение в эконометрику)
Издательство: Pearson Education
Классификация:
Эконометрика

ISBN: 0321442539
ISBN-13(EAN): 9780321442536
ISBN: 0-321-44253-9
ISBN-13(EAN): 978-0-321-44253-6
Обложка/Формат: Paperback
Страницы: 840
Вес: 0.505 кг.
Дата издания: 10.08.2006
Серия: 2ND EDITION - PAPER
Издание: 2nd revised international ed
Иллюстрации: Illustrations (some col.)
Размер: 232 x 187
Читательская аудитория: Professional & vocational
Рейтинг:
Поставляется из: Англии
Описание: Second edition.

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Ориентировочная дата поставки: 17 июл 2017
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     Новое издание
Introduction to Econometrics

Автор: Stock, James H
Название: Introduction to Econometrics
ISBN: 1292071311 ISBN-13(EAN): 9781292071312
Издательство: Pearson Education
Цена: 3647 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
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Introduction to Econometrics: International Edition, Edition 3

Автор: James Stock, Mark Watson
Название: Introduction to Econometrics: International Edition, Edition 3
ISBN: 1408264331 ISBN-13(EAN): 9781408264331
Издательство: Pearson Education
Цена: 3647 р.
Наличие на складе: Поставка под заказ.
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     Старое издание
Introduction to Econometrics: United States Edition

Автор: James Stock
Название: Introduction to Econometrics: United States Edition
ISBN: 0321278879 ISBN-13(EAN): 9780321278876
Издательство: Pearson Education
Цена: 3221 р.
Наличие на складе: Невозможна поставка.
Описание: Designed for a first course in introductory econometrics, "Introduction to Econometrics," reflects modern theory and practice, with interesting applications that motivate  and match up with the  theory to ensure students grasp the relevance of econometrics. Authors James H. Stock and Mark W.

Watson integrate real-world questions and data into the development of the theory, with serious treatment of the substantive findings of the resulting empirical analysis.

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Mostly harmless econometrics

Автор: Angrist, J.d. Pischke, Jorn-steffen
Название: Mostly harmless econometrics
ISBN: 0691120358 ISBN-13(EAN): 9780691120355
Издательство: Wiley
Цена: 2548 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
Описание: Shows how the basic tools of applied econometrics allow the data to speak. This book covers regression-discontinuity designs and quantile regression - as well as how to get standard errors right. It is suitable for various areas in contemporary social science.
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Introductory Econometrics for Finance

Автор: Brooks
Название: Introductory Econometrics for Finance
ISBN: 1107661455 ISBN-13(EAN): 9781107661455
Издательство: Cambridge Academ
Цена: 4382 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
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A Guide to Modern Econometrics

Автор: Verbeek M
Название: A Guide to Modern Econometrics
ISBN: 1119951674 ISBN-13(EAN): 9781119951674
Издательство: Wiley
Цена: 4399 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
Описание: This highly successful text serves as a guide to alternative techniques in econometrics with an emphasis on the practical application of these approaches. The 4th Edition features: Coverage of a wide range of topics, including time series analysis, cointegration, limited dependent variables, panel data analysis and the generalized method of moments. Intuitive presentation and discussion, with a focus on implementation and practical relevance. A large number of empirical illustrations taken from a wide variety of fields, including international economics, finance, labour economics and macroeconomics. Increased focus on robust inference and small sample properties. End-of-chapter exercises, both theoretical and empirical, reviewing key concepts. Updated and expanded coverage, on various topics such as missing data, outliers, forecast evaluation, the estimation of treatment effects and panel unit root tests. Supplementary material, including PowerPoint slides for lecturers, data sets of the empirical illustrations and exercises, and solutions to selected exercises in each chapter, available at www.wileyeurope.com/college/verbeek
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An Introduction to Modern Econometrics Using Stata

Автор: Baum
Название: An Introduction to Modern Econometrics Using Stata
ISBN: 1597180130 ISBN-13(EAN): 9781597180139
Издательство: Taylor&Francis
Цена: 5631 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
Описание: Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, this introduction illustrates how to apply econometric theories used in modern empirical research using Stata. The author emphasizes the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that show how to apply the theories to real data sets. The book first builds familiarity with the basic skills needed to work with econometric data in Stata before delving into the core topics, which range from the multiple linear regression model to instrumental-variables estimation.
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Introduction to Econometrics

Автор: Dougherty, Christopher
Название: Introduction to Econometrics
ISBN: 0199567085 ISBN-13(EAN): 9780199567089
Издательство: Oxford Academ
Цена: 4031 р.
Наличие на складе: Нет в наличии.
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Introduction to Spatial Econometrics

Название: Introduction to Spatial Econometrics
ISBN: 142006424X ISBN-13(EAN): 9781420064247
Издательство: Taylor&Francis
Цена: 5807 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
Описание: Presents a variety of regression methods used to analyze spatial data samples that violate the traditional assumption of independence between observations. This title explores a range of alternative topics, including maximum likelihood and Bayesian estimation and applied modeling situations involving different circumstances.
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Introduction to Bayesian Econometrics

Автор: Greenberg
Название: Introduction to Bayesian Econometrics
ISBN: 1107015316 ISBN-13(EAN): 9781107015319
Издательство: Cambridge Academ
Цена: 3505 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
Описание: This textbook explains the basic ideas of subjective probability and shows how subjective probabilities must obey the usual rules of probability to ensure coherency. It defines the likelihood function, prior distributions and posterior distributions. It explains how posterior distributions are the basis for inference and explores their basic properties. Various methods of specifying prior distributions are considered, with special emphasis on subject-matter considerations and exchange ability. The regression model is examined to show how analytical methods may fail in the derivation of marginal posterior distributions. The remainder of the book is concerned with applications of the theory to important models that are used in economics, political science, biostatistics and other applied fields. New to the second edition is a chapter on semiparametric regression and new sections on the ordinal probit, item response, factor analysis, ARCH-GARCH and stochastic volatility models. The new edition also emphasizes the R programming language.
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Computer-Aided Introduction to Econometrics

Автор: Rodriguez Poo Juan
Название: Computer-Aided Introduction to Econometrics
ISBN: 354044114X ISBN-13(EAN): 9783540441144
Издательство: Springer
Цена: 7157 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
Описание: The advent of low cost computation has made many previously intractable econometric models empirically feasible and computational methods are now realized as an integral part of the theory.This book provides graduate students and researchers not only with a sound theoretical introduction to the topic, but allows the reader through an internet based interactive computing method to learn from theory to practice the different techniques discussed in the book. Among the theoretical issues presented are linear regression analysis, univariate time series modelling with some interesting extensions such as ARCH models and dimensionality reduction techniques.The electronic version of the book including all computational possibilites can be viewed athttp://www.xplore-stat.de/ebooks/ebooks.html
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Introduction to the Mathematical and Statistical Foundations of Econometrics

Автор: Herman J. Bierens
Название: Introduction to the Mathematical and Statistical Foundations of Econometrics
ISBN: 0521542243 ISBN-13(EAN): 9780521542241
Издательство: Cambridge Academ
Цена: 2629 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
Описание: This book is intended for use in a rigorous introductory PhD level course in econometrics, or in a field course in econometric theory. It covers the measure-theoretical foundation of probability theory, the multivariate normal distribution with its application to classical linear regression analysis, various laws of large numbers, central limit theorems and related results for independent random variables as well as for stationary time series, with applications to asymptotic inference of M-estimators, and maximum likelihood theory. Some chapters have their own appendices containing the more advanced topics and/or difficult proofs. Moreover, there are three appendices with material that is supposed to be known. Appendix I contains a comprehensive review of linear algebra, including all the proofs. Appendix II reviews a variety of mathematical topics and concepts that are used throughout the main text, and Appendix III reviews complex analysis. Therefore, this book is uniquely self-contained.
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Introduction to Bayesian Econometrics

Автор: Edward Greenberg
Название: Introduction to Bayesian Econometrics
ISBN: 0521858712 ISBN-13(EAN): 9780521858717
Издательство: Cambridge Academ
Цена: 2366 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
Описание: Introduces the increasingly popular Bayesian approach to statistics to graduates and advanced undergraduates. In contrast to the long-standing frequentist approach to statistics, the Bayesian approach makes explicit use of prior information and is based on the subjective view of probability. Bayesian econometrics takes probability theory as applying to all situations in which uncertainty exists, including uncertainty over the values of parameters. A distinguishing feature of this book is its emphasis on classical and Markov chain Monte Carlo (MCMC) methods of simulation. The book is concerned with applications of the theory to important models that are used in economics, political science, biostatistics, and other applied fields. These include the linear regression model and extensions to Tobit, probit, and logit models; time series models; and models involving endogenous variables.
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A Concise Introduction to Econometrics

Автор: Philip Hans Franses
Название: A Concise Introduction to Econometrics
ISBN: 0521817692 ISBN-13(EAN): 9780521817691
Издательство: Cambridge Academ
Цена: 6311 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
Описание: In this short and very practical introduction to econometrics Philip Hans Franses guides the reader through the essential concepts of econometrics. Central to the book are practical questions in various economic disciplines, which can be answered using econometric methods and models. The book focuses on a limited number of the essential, most widely used methods, before going on to review the basics of econometrics. The book ends with a number of case studies drawn from recent empirical work to provide an intuitive illustration of what econometricians do when faced with practical questions. Throughout the book Franses emphasises the importance of specification, evaluation and implementation of models appropriate to the data. Assuming basic familiarity only with matrix algebra and calculus the book is designed to appeal as either a short stand-alone introduction for students embarking on an empirical research project or as a supplement to any standard introductory textbook.
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Introduction to the Mathematical and Statistical Foundations of Econometrics

Автор: Herman J. Bierens
Название: Introduction to the Mathematical and Statistical Foundations of Econometrics
ISBN: 0521834317 ISBN-13(EAN): 9780521834315
Издательство: Cambridge Academ
Цена: 6573 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
Описание: This book is intended for use in a rigorous introductory PhD level course in econometrics, or in a field course in econometric theory. It covers the measure-theoretical foundation of probability theory, the multivariate normal distribution with its application to classical linear regression analysis, various laws of large numbers, central limit theorems and related results for independent random variables as well as for stationary time series, with applications to asymptotic inference of M-estimators, and maximum likelihood theory. Some chapters have their own appendices containing the more advanced topics and/or difficult proofs.

Moreover, there are three appendices with material that is supposed to be known. Appendix I contains a comprehensive review of linear algebra, including all the proofs. Appendix II reviews a variety of mathematical topics and concepts that are used throughout the main text, and Appendix III reviews complex analysis.

Therefore, this book is uniquely self-contained.

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