Elements of Time Series Econometrics: An Applied Approach - Second Edition, Kocenda Evzen, Cerny Alexander

Автор: Henderson
Название: Applied Nonparametric Econometrics
ISBN: 0521279682 ISBN-13(EAN): 9780521279680
Издательство: Cambridge Academ
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Цена: 6653.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The majority of empirical research in economics ignores the potential benefits of nonparametric methods, while the majority of advances in nonparametric theory ignore the problems faced in applied econometrics. This book helps bridge this gap between applied economists and theoretical nonparametric econometricians, discussing basic to advanced nonparametric methods with applications.

Автор: Racine, Jeffrey; Su, Liangjun; Ullah, Aman
Название: The Oxford Handbook of Applied Nonparametric and Semiparametric Econometrics and Statistics
ISBN: 0199857946 ISBN-13(EAN): 9780199857944
Издательство: Oxford Academ
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Цена: 25648.00 р.
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Описание: This volume, edited by Jeffrey Racine, Liangjun Su, and Aman Ullah, contains the latest research on nonparametric and semiparametric econometrics and statistics. Chapters by leading international econometricians and statisticians highlight the interface between econometrics and statistical methods for nonparametric and semiparametric procedures.

Автор: Mills
Название: Time Series Econometrics
ISBN: 1137525320 ISBN-13(EAN): 9781137525321
Издательство: Springer
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Цена: 10610.00 р.
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Описание: This book provides an introductory treatment of time series econometrics, a subject that is of key importance to both students and practitioners of economics. It contains material that any serious student of economics and finance should be acquainted with if they are seeking to gain an understanding of a real functioning economy.

Автор: Henderson
Название: Applied Nonparametric Econometrics
ISBN: 110701025X ISBN-13(EAN): 9781107010253
Издательство: Cambridge Academ
Рейтинг:
Цена: 18058.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The majority of empirical research in economics ignores the potential benefits of nonparametric methods, while the majority of advances in nonparametric theory ignore the problems faced in applied econometrics. This book helps bridge this gap between applied economists and theoretical nonparametric econometricians, discussing basic to advanced nonparametric methods with applications.