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Robustness in Econometrics, Vladik Kreinovich; Songsak Sriboonchitta; Van-Nam


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Автор: Vladik Kreinovich; Songsak Sriboonchitta; Van-Nam
Название:  Robustness in Econometrics
ISBN: 9783319507415
Издательство: Springer
Классификация:




ISBN-10: 3319507419
Обложка/Формат: Hardcover
Страницы: 705
Вес: 1.17 кг.
Дата издания: 20.02.2017
Серия: Studies in Computational Intelligence
Язык: English
Издание: 1st ed. 2017
Иллюстрации: 120 illustrations, color; 9 illustrations, black and white; x, 705 p. 129 illus., 120 illus. in color.
Размер: 234 x 156 x 38
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Presenting recent research on robustness in econometrics, this book focuses robust data processing techniques that yield results minimally affected by outliers and their applications to real-life economic and financial situations. It also discusses applications of more traditional statistical techniques to econometric problems.


Methods for estimation and inference in modern econometrics

Автор: Anatolyev, Stanislav Gospodinov, Nikolay
Название: Methods for estimation and inference in modern econometrics
ISBN: 1439838240 ISBN-13(EAN): 9781439838242
Издательство: Taylor&Francis
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Цена: 15312.00 р.
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Описание:

Methods for Estimation and Inference in Modern Econometrics provides a comprehensive introduction to a wide range of emerging topics, such as generalized empirical likelihood estimation and alternative asymptotics under drifting parameterizations, which have not been discussed in detail outside of highly technical research papers. The book also addresses several problems often arising in the analysis of economic data, including weak identification, model misspecification, and possible nonstationarity. The book's appendix provides a review of some basic concepts and results from linear algebra, probability theory, and statistics that are used throughout the book.





Topics covered include:







  • Well-established nonparametric and parametric approaches to estimation and conventional (asymptotic and bootstrap) frameworks for statistical inference


  • Estimation of models based on moment restrictions implied by economic theory, including various method-of-moments estimators for unconditional and conditional moment restriction models, and asymptotic theory for correctly specified and misspecified models


  • Non-conventional asymptotic tools that lead to improved finite sample inference, such as higher-order asymptotic analysis that allows for more accurate approximations via various asymptotic expansions, and asymptotic approximations based on drifting parameter sequences






Offering a unified approach to studying econometric problems, Methods for Estimation and Inference in Modern Econometrics links most of the existing estimation and inference methods in a general framework to help readers synthesize all aspects of modern econometric theory. Various theoretical exercises and suggested solutions are included to facilitate understanding.

Introductory Econometrics for Finance

Автор: Brooks
Название: Introductory Econometrics for Finance
ISBN: 1107661455 ISBN-13(EAN): 9781107661455
Издательство: Cambridge Academ
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Цена: 7918.00 р.
Наличие на складе: Поставка под заказ.

Описание: This bestselling and thoroughly classroom-tested textbook is a complete resource for finance students. A comprehensive and illustrated discussion of the most common empirical approaches in finance prepares students for using econometrics in practice, while detailed case studies help them understand how the techniques are used in relevant financial contexts. Worked examples from the latest version of the popular statistical software EViews guide students to implement their own models and interpret results. Learning outcomes, key concepts and end-of-chapter review questions (with full solutions online) highlight the main chapter takeaways and allow students to self-assess their understanding. Building on the successful data- and problem-driven approach of previous editions, this third edition has been updated with new data, extensive examples and additional introductory material on mathematics, making the book more accessible to students encountering econometrics for the first time. A companion website, with numerous student and instructor resources, completes the learning package.

Heavy-Tailed Distributions and Robustness in Economics and Finance

Автор: Marat Ibragimov; Rustam Ibragimov; Johan Walden
Название: Heavy-Tailed Distributions and Robustness in Economics and Finance
ISBN: 3319168762 ISBN-13(EAN): 9783319168760
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This book focuses on general frameworks for modeling heavy-tailed distributions in economics, finance, econometrics, statistics, risk management and insurance. These results motivate the development and applications of robust inference approaches under heavy tails, heterogeneity and dependence in observations.

Guaranteed Estimates, Adaptation and Robustness in Control Systems

Автор: V.M. Kuntzevich; M.M. Lychak
Название: Guaranteed Estimates, Adaptation and Robustness in Control Systems
ISBN: 3540549250 ISBN-13(EAN): 9783540549253
Издательство: Springer
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Цена: 12157.00 р.
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Описание: The book is concerned with the problems of dynamic systemscontrol in conditions of uncertainty caused by the lack ofadequate a priori data on control objects` properties. The appearance offurther unimprovable estimates causes the necessity to refu-se the use of adaptive control and to turn to the robustcontrol.

Homogeneous Polynomial Forms for Robustness Analysis of Uncertain Systems

Автор: Graziano Chesi; Andrea Garulli; Alberto Tesi; Anto
Название: Homogeneous Polynomial Forms for Robustness Analysis of Uncertain Systems
ISBN: 1848827806 ISBN-13(EAN): 9781848827806
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book presents a number of techniques for robustness analysis of uncertain systems. In it, convex relaxations for several robustness problems are derived by exploiting and providing new results on the theory of homogenous polynomial forms.

Robustness in Statistical Pattern Recognition

Автор: Y. Kharin
Название: Robustness in Statistical Pattern Recognition
ISBN: 9048147603 ISBN-13(EAN): 9789048147601
Издательство: Springer
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Цена: 20257.00 р.
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Описание: At the first stage, until the middle of the 1970s, pattern recogni- tion theory was replenished mainly from adjacent mathematical disciplines: mathe- matical statistics, functional analysis, discrete mathematics, and information theory.

Robustness of Statistical Methods and Nonparametric Statistics

Автор: Dieter Rasch; Moti Lal Tiku
Название: Robustness of Statistical Methods and Nonparametric Statistics
ISBN: 9400965303 ISBN-13(EAN): 9789400965300
Издательство: Springer
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Цена: 11173.00 р.
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Introduction to Econometrics, 5 ed.

Автор: Dougherty Christopher
Название: Introduction to Econometrics, 5 ed.
ISBN: 0199676828 ISBN-13(EAN): 9780199676828
Издательство: Oxford Academ
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Цена: 12037.00 р.
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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.

A Guide to Modern Econometrics

Автор: Verbeek M
Название: A Guide to Modern Econometrics
ISBN: 1119951674 ISBN-13(EAN): 9781119951674
Издательство: Wiley
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Цена: 7918.00 р.
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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

Applied Nonparametric Econometrics

Автор: Henderson
Название: Applied Nonparametric Econometrics
ISBN: 0521279682 ISBN-13(EAN): 9780521279680
Издательство: Cambridge Academ
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Цена: 6653.00 р.
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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.

Econometrics

Автор: Fumio Hayashi
Название: Econometrics
ISBN: 0691010188 ISBN-13(EAN): 9780691010182
Издательство: Wiley
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Цена: 10296.00 р.
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Описание: Introducing first year PhD students to standard graduate econometrics material, this work covers the standard material necessary for understanding the principal techniques of econometrics from ordinary least squares through cointegration. It is useful for those who intend to write a thesis on applied topics and also for the theoretically inclined.

Handbook of Econometrics,4

Автор: Robert Engle
Название: Handbook of Econometrics,4
ISBN: 0444887660 ISBN-13(EAN): 9780444887665
Издательство: Elsevier Science
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Цена: 16338.00 р.
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Описание: A reference source and teaching aid for econometricians which examines models, estimation theory, data analysis and field applications in econometrics. Surveys discuss recent developments at a level suitable for professional use or in graduate courses.


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