An Introduction to the Advanced Theory and Practice of Nonparametric Econometrics: A Replicable Approach Using R, Jeffrey S. Racine

Автор: Henderson
Название: Applied Nonparametric Econometrics
ISBN: 0521279682 ISBN-13(EAN): 9780521279680
Издательство: Cambridge Academ
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Цена: 44350.00 T
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: Ghosal, Subhashis.
Название: Fundamentals of Nonparametric Bayesian Inference
ISBN: 0521878268 ISBN-13(EAN): 9780521878265
Издательство: Cambridge Academ
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Цена: 86590.00 T
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Описание: Written by top researchers, this self-contained text is the authoritative account of Bayesian nonparametrics, a nearly universal framework for inference in statistics and machine learning, with practical use in all areas of science, including economics and biostatistics. Appendices with prerequisites and numerous exercises support its use for graduate courses.

Автор: Henderson
Название: Applied Nonparametric Econometrics
ISBN: 110701025X ISBN-13(EAN): 9781107010253
Издательство: Cambridge Academ
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Цена: 120390.00 T
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: Joel L. Horowitz
Название: Semiparametric and Nonparametric Methods in Econometrics
ISBN: 1461429277 ISBN-13(EAN): 9781461429272
Издательство: Springer
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Цена: 130430.00 T
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Описание: This text emphasizes the main ideas underlying a variety of nonparametric and semiparametric methods. This edition contains over one hundred pages of new material as well as empirical examples to illustrate the methods presented.

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: 153120.00 T
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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: 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.

Автор: Alexandre B. Tsybakov
Название: Introduction to Nonparametric Estimation
ISBN: 1441927093 ISBN-13(EAN): 9781441927095
Издательство: Springer
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Цена: 102480.00 T
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Описание: Developed from lecture notes and ready to be used for a course on the graduate level, this concise text aims to introduce the fundamental concepts of nonparametric estimation theory while maintaining the exposition suitable for a first approach in the field.

Автор: Pagan, Adrian
Название: Nonparametric Econometrics
ISBN: 0521586119 ISBN-13(EAN): 9780521586115
Издательство: Cambridge Academ
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Цена: 49630.00 T
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Описание: The first book to discuss the principles of the nonparametric approach to the topics covered in a first year graduate course in econometrics. The book will provide a new perspective on teaching and research in applied subjects in general and econometrics and statistics in particular.

Автор: Hale Douglas, Lady George, Maybee John
Название: Nonparametric Comparative Statics and Stability
ISBN: 0691603189 ISBN-13(EAN): 9780691603186
Издательство: Wiley
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Цена: 44350.00 T
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Описание: The authors, leading researchers in the fields of mathematical economics and methodology, present the first comprehensive synthesis of literature on qualitative and other nonparametric techniques, which are important elements of comparative statics and stability analysis in economic theory. The topics covered show how to assess the comparative stat

Автор: Fr?d?ric Ferraty; Philippe Vieu
Название: Nonparametric Functional Data Analysis
ISBN: 1441921419 ISBN-13(EAN): 9781441921413
Издательство: Springer
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Цена: 121110.00 T
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Описание: At the same time it shows how functional data can be studied through parameter-free statistical ideas, and offers an original presentation of new nonparametric statistical methods for functional data analysis.

Автор: Simar Leopold
Название: Estimation and Inference in Nonparametric Frontier Models
ISBN: 1601986661 ISBN-13(EAN): 9781601986665
Издательство: Неизвестно
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Цена: 91040.00 T
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Описание: Provides a thorough examination of this topic for students and researchers alike. While nonparametric estimators are widely used to estimate the productive efficiency of firms and other organizations, it is often done without any attempt to make statistical inference.

Автор: Hardle, Wolfgang Karl Muller, Marlene Sperlich, Stefan Werwatz, Axel
Название: Nonparametric and semiparametric models
ISBN: 3642620760 ISBN-13(EAN): 9783642620768
Издательство: Springer
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Цена: 144410.00 T
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Описание: It naturally splits into two parts: The first part is intended for undergraduate students majoring in mathematics, statistics, econometrics or biometrics whereas the second part is intended to be used by master and PhD students or researchers.