Matrix Analysis, Horn

Автор: Hamilton, James
Название: Time Series Analysis
ISBN: 0691042896 ISBN-13(EAN): 9780691042893
Издательство: Wiley
Рейтинг:
Цена: 11088.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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: Durbin, James; Koopman, Siem Jan
Название: Time Series Analysis by State Space Methods
ISBN: 019964117X ISBN-13(EAN): 9780199641178
Издательство: Oxford Academ
Рейтинг:
Цена: 18216.00 р.
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: Richard S Varga
Название: Matrix Iterative Analysis
ISBN: 3642051545 ISBN-13(EAN): 9783642051548
Издательство: Springer
Рейтинг:
Цена: 23058.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book is a revised version of the first edition, regarded as a classic in its field. In some places, newer research results have been incorporated in the revision, and in other places, new material has been added

Автор: Ruey Tsay
Название: Analysis of Financial Time Series
ISBN: 0470414359 ISBN-13(EAN): 9780470414354
Издательство: Wiley
Рейтинг:
Цена: 19792.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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: 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: 9798.00 р.
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: Tsay
Название: An Introduction to Analysis of Financial Data with R
ISBN: 0470890819 ISBN-13(EAN): 9780470890813
Издательство: Wiley
Рейтинг:
Цена: 18683.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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: Hensher
Название: Applied Choice Analysis
ISBN: 1107465923 ISBN-13(EAN): 9781107465923
Издательство: Cambridge Academ
Рейтинг:
Цена: 11563.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: A fully updated second edition of this popular book on choice analysis, showing the latest developments in behavioural theory, econometric estimation, and how to apply all methods using the software NLOGIT. Complete with new topics and case studies, this is a valuable resource for students, researchers, professionals and consultants.

Автор: Kumbhakar
Название: A Practitioner`s Guide to Stochastic Frontier Analysis Using Stata
ISBN: 1107609461 ISBN-13(EAN): 9781107609464
Издательство: Cambridge Academ
Рейтинг:
Цена: 7445.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: A Practitioner`s Guide to Stochastic Frontier Analysis Using Stata provides practitioners with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. Immensely helpful to the applied researcher, it bridges the chasm between theory and practice, expanding the range of applications in which production frontier analysis may be implemented.