Risk Measurement, Econometrics and Neural Networks, Georg Bol; Gholamreza Nakhaeizadeh; Karl-Heinz Vol
Автор: Brooks Название: Introductory Econometrics for Finance ISBN: 1107661455 ISBN-13(EAN): 9781107661455 Издательство: Cambridge Academ Рейтинг: Цена: 52790.00 T 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.
An examination of the role of theory in applied econometrics.
Econometrics is a study of good and bad ways to measure economic relations. In this book, Bernt Stigum considers the role that economic theory ought to play in such measurements and proposes a formal science of economics that provides the means to solve the measurement problems faced by econometric researchers. After describing the salient parts of a formal science of economics, Stigum compares its methods with the methods of contemporary applied econometrics. His goal is to develop a basis for meaningful discussion of the best way to incorporate economic theory in empirical analysis.
Stigum conceives two scenarios for research in applied econometrics: contemporary econometrics in the tradition of Trygve Haavelmo and the formal theory-data confrontation envisioned by Ragnar Frisch. Stigum presents case studies of economic phenomena, contrasting the empirical analysis prescribed by contemporary applied econometrics with the empirical analysis prescribed by a formal theory-data confrontation. He finds significant and provocative differences. Which are we to believe when the statistical analyses of these two methodologies yield very different descriptions of the behavior characteristics of data variables and inferences about social reality?
Stigum points to three aspects of contemporary econometric methodology that may benefit from serious discussions: the analysis of positively valued time series, a suspect characteristic of qualitative response models, and the search for linearly cointegrated time series. These three aspects are of as much concern to formal econometrics as they are to contemporary econometrics.
Автор: Baum Название: An Introduction to Modern Econometrics Using Stata ISBN: 1597180130 ISBN-13(EAN): 9781597180139 Издательство: Taylor&Francis Рейтинг: 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: Henderson Название: Applied Nonparametric Econometrics ISBN: 0521279682 ISBN-13(EAN): 9780521279680 Издательство: Cambridge Academ Рейтинг: 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: Bishop, Christopher M. Название: Neural Networks for Pattern Recognition ISBN: 0198538642 ISBN-13(EAN): 9780198538646 Издательство: Oxford Academ Рейтинг: Цена: 92930.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is the first to provide a comprehensive account of neural networks from a statistical perspective. Its emphasis is on pattern recognition, which currently represents the area of greatest applicability for neural networks. By focusing on pattern recognition, the book provides a much more extensive treatment of many topics than is available in earlier books.
Автор: Brian D. Ripley Название: Pattern Recognition and Neural Networks ISBN: 0521717701 ISBN-13(EAN): 9780521717700 Издательство: Cambridge Academ Рейтинг: Цена: 51750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. Valuable advice is included on both theory and applications, while case studies based on real data sets help readers develop their understanding. All data sets are available from www.stats.ox.ac.uk/~ripley/PRbook/
Автор: Gurney, Kevin Название: Introduction to neural networks ISBN: 1857285034 ISBN-13(EAN): 9781857285031 Издательство: Taylor&Francis Рейтинг: Цена: 71450.00 T Наличие на складе: Невозможна поставка. Описание: Although mathematical ideas underpin the study of neural networks, this book presents the fundamentals without the full mathematical apparatus. It tackles various aspects of the field, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; and gradient descent methods.
Автор: Mukherjee, Chandan Etc. White, Howard Wuyts, Mark Название: Econometrics and data analysis for developing countries ISBN: 0415094003 ISBN-13(EAN): 9780415094009 Издательство: Taylor&Francis Рейтинг: Цена: 65320.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A rigorous but accessible foundation to modern data analysis and econometric practice. Contains many examples and exercises and data from developing countries which is available for immediate use on a free floppy disk.
Автор: M.D. Intriligator Название: Handbook of Econometrics,1 ISBN: 0444861858 ISBN-13(EAN): 9780444861856 Издательство: Elsevier Science Рейтинг: Цена: 128010.00 T Наличие на складе: Поставка под заказ. Описание: Examines models, estimation theory, data analysis and field applications in econometrics. This work is suitable for professional use by economists, econometricians, statisticians, and in advanced graduate econometrics courses.
Автор: Z. Griliches Название: Handbook of Econometrics,2 ISBN: 0444861866 ISBN-13(EAN): 9780444861863 Издательство: Elsevier Science Рейтинг: Цена: 128010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Examines models, estimation theory, data analysis and field applications in econometrics. This work is suitable for professional use by economists, econometricians, statisticians, and in advanced graduate econometrics courses.
Автор: Michael D. Intriligator Название: Handbook of Econometrics,3 ISBN: 0444861874 ISBN-13(EAN): 9780444861870 Издательство: Elsevier Science Рейтинг: Цена: 128010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: R. M. Hare, one of the most widely discussed of today`s moral philosophers, here presents his most important essays on religion and education, in which he brings together the theoretical and the practical. The main themes of the book are the relations between religion and morality and the question how children can be educated to think for themselves, freely but rationally, about moral questions.
Автор: Robert Engle Название: Handbook of Econometrics,4 ISBN: 0444887660 ISBN-13(EAN): 9780444887665 Издательство: Elsevier Science Рейтинг: Цена: 108920.00 T Наличие на складе: Поставка под заказ. 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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