Introduction to Multiple Time Series Analysis, Helmut L?tkepohl

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: 121440.00 T
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.

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.

Автор: Lutkepohl, Helmut
Название: New Introduction to Multiple Time Series Analysis
ISBN: 3540262393 ISBN-13(EAN): 9783540262398
Издательство: Springer
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Цена: 110090.00 T
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Описание: It provides a detailed introduction to the main steps of analyzing multiple time series, model specification, estimation, model checking, and for using the models for economic analysis and forecasting.

Автор: Ruey Tsay
Название: Analysis of Financial Time Series
ISBN: 0470414359 ISBN-13(EAN): 9780470414354
Издательство: Wiley
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Цена: 131950.00 T
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Описание: Analysis of Financial Time Series, Third Edition provides a broad, mature, and systematic introduction to current financial econometric models and their applications to modeling and prediction of financial time series data. It utilizes real-world examples and real financial data throughout the book to apply the models and methods described.

Автор: Tsay
Название: An Introduction to Analysis of Financial Data with R
ISBN: 0470890819 ISBN-13(EAN): 9780470890813
Издательство: Wiley
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Цена: 124550.00 T
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Описание: A complete set of statistical tools for beginning financial analysts from a leading authority Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data.

Автор: Baum
Название: An Introduction to Modern Econometrics Using Stata
ISBN: 1597180130 ISBN-13(EAN): 9781597180139
Издательство: Taylor&Francis
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Цена: 88800.00 T
Наличие на складе: Невозможна поставка.
Описание:

Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, An Introduction to Modern Econometrics Using Stata focuses on the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that show how the theories are applied to real data sets using Stata.

As an expert in Stata, the author successfully guides readers from the basic elements of Stata to the core econometric topics. He first describes the fundamental components needed to effectively use Stata. The book then covers the multiple linear regression model, linear and nonlinear Wald tests, constrained least-squares estimation, Lagrange multiplier tests, and hypothesis testing of nonnested models. Subsequent chapters center on the consequences of failures of the linear regression model's assumptions. The book also examines indicator variables, interaction effects, weak instruments, underidentification, and generalized method-of-moments estimation. The final chapters introduce panel-data analysis and discrete- and limited-dependent variables and the two appendices discuss how to import data into Stata and Stata programming.

Presenting many of the econometric theories used in modern empirical research, this introduction illustrates how to apply these concepts using Stata. The book serves both as a supplementary text for undergraduate and graduate students and as a clear guide for economists and financial analysts.

Автор: Pena, Daniel S. Tiao, George C. Tsay, Ruey S.
Название: Course in time series analysis
ISBN: 047136164X ISBN-13(EAN): 9780471361640
Издательство: Wiley
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Цена: 209030.00 T
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Описание: New statistical methods and future directions of research in time series A Course in Time Series Analysis demonstrates how to build time series models for univariate and multivariate time series data.

Автор: Emmanuel Thanassoulis
Название: Introduction to the Theory and Application of Data Envelopment Analysis
ISBN: 1461355389 ISBN-13(EAN): 9781461355380
Издательство: Springer
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Цена: 186330.00 T
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Описание: 1 DATA ENVELOPMENT ANALYSIS Data Envelopment Analysis (DEA) was initially developed as a method for assessing the comparative efficiencies of organisational units such as the branches of a bank, schools, hospital departments or restaurants.

Автор: Commandeur, Jacques J.F.; Koopman, Siem Jan
Название: An Introduction to State Space Time Series Analysis
ISBN: 0199228876 ISBN-13(EAN): 9780199228874
Издательство: Oxford Academ
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Цена: 51210.00 T
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Описание: This text provides an introduction to time series analysis using state space methodology to readers who are neither familiar with time series analysis, nor with state space methods. This is the first in a series of books designed to provide practitioners, researchers, and students with practical introductions to various topics in econometrics.

Автор: Gebhard Kirchg?ssner; J?rgen Wolters; Uwe Hassler
Название: Introduction to Modern Time Series Analysis
ISBN: 3642440290 ISBN-13(EAN): 9783642440298
Издательство: Springer
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Цена: 69830.00 T
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Описание: This book presents modern methods of time series econometrics and their applications to macroeconomics and finance. It includes numerous examples and analyses based on real economic data.

Автор: Dougherty Christopher
Название: Introduction to Econometrics, 5 ed.
ISBN: 0199676828 ISBN-13(EAN): 9780199676828
Издательство: Oxford Academ
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Цена: 80250.00 T
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Описание: Combining the rigour of econometric theory with an accessible style, Dougherty`s step by step explanations and relevant practical exercises ensure students develop an intuitive understanding of econometrics, and gain hands-on experience of the tools used in economic and financial forecasting.