Time Series Analysis and Adjustment: Measuring, Modelling and Forecasting for Business and Economics, Bleikh Haim Y., L. Young Warren
Автор: Ignacio Rojas; H?ctor Pomares Название: Time Series Analysis and Forecasting ISBN: 3319287230 ISBN-13(EAN): 9783319287232 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Main Topics:
Time Series Analysis and Forecasting.- Advanced method and on-Line Learning in time series.- High Dimension and Complex/Big Data.- Forecasting in real problem.
Автор: Ignacio Rojas; H?ctor Pomares; Olga Valenzuela Название: Advances in Time Series Analysis and Forecasting ISBN: 3319557882 ISBN-13(EAN): 9783319557885 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Preface.- Part I: Analysis of Irregularly Sampled Time Series: Techniques, Algorithms and Case Studies.- Scientific Contributions.- Part II: Multi-scale Analysis of Univariate and Multivariate Time Series.- Scientific Contributions.- Part III: Linear and Non-linear Time Series Models.- Scientific Contributions.- Part IV: Advanced Time Series Forecasting Methods.- Scientific Contributions.- Part V: Applications in Time Series Analysis and Forecasting.- Scientific Contributions.- Author Index.
Описание: This book is concerned with modelling economic and social time series and with addressing the special problems which the treatment of such series pose. It is unique in its use of Kalman filtering with econometric and time series modelling.
Описание: This book explores widely used seasonaladjustment methods and recent developments in real time trend-cycle estimation.It discusses in detail the properties and limitations of X12ARIMA, TRAMO-SEATSand STAMP - the main seasonal adjustment methods used by statistical agencies. Several real-world cases illustrate eachmethod and real data examples can be followed throughout the text. Thetrend-cycle estimation is presented using nonparametric techniques based onmoving averages, linear filters and reproducing kernel Hilbert spaces, takingrecent advances into account. The book provides a systematical treatment ofresults that to date have been scattered throughout the literature.Seasonal adjustment and real timetrend-cycle prediction play an essential part at all levels of activity inmodern economies. They are used by governments to counteract cyclicalrecessions, by central banks to control inflation, by decision makers forbetter modeling and planning and by hospitals, manufacturers, builders,transportation, and consumers in general to decide on appropriate action.This book appeals to practitioners ingovernment institutions, finance and business, macroeconomists, and other professionalswho use economic data as well as academic researchers in time series analysis,seasonal adjustment methods, filtering and signal extraction. It is also usefulfor graduate and final-year undergraduate courses in econometrics and timeseries with a good understanding of linear regression and matrix algebra, aswell as ARIMA modelling.
Автор: Ghysels, Eric (edward M. Bernstein Distinguished Professor Of Economics And Professor Of Finance, Kenan-flagler School Of Business, University Of Nort Название: Applied economic forecasting using time series methods ISBN: 0190622016 ISBN-13(EAN): 9780190622015 Издательство: Oxford Academ Рейтинг: Цена: 17028.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Economic forecasting is a key ingredient of decision making in the public and private sectors. This book provides the necessary tools to solve real-world forecasting problems using time-series methods. It targets undergraduate and graduate students as well as researchers in public and private institutions interested in applied economic forecasting.
Автор: Franses Название: Time Series Models for Business and Economic Forecasting ISBN: 0521520916 ISBN-13(EAN): 9780521520911 Издательство: Cambridge Academ Рейтинг: Цена: 7445.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With a new author team contributing decades of practical experience, this fully updated second edition textbook summarises the most critical decisions, techniques and steps in creating effective forecasting models. Includes all new theoretical and practical exercises geared at guiding students through the steps of creating forecasting models on their own.
Автор: Franses Название: Time Series Models for Business and Economic Forecasting ISBN: 0521817706 ISBN-13(EAN): 9780521817707 Издательство: Cambridge Academ Рейтинг: Цена: 14890.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With a new author team contributing decades of practical experience, this fully updated second edition textbook summarises the most critical decisions, techniques and steps in creating effective forecasting models. Includes all new theoretical and practical exercises geared at guiding students through the steps of creating forecasting models on their own.
Описание: This book presents selected peer-reviewed contributions from the International Work-Conference on Time Series, ITISE 2017, held in Granada, Spain, September 18-20, 2017. It discusses topics in time series analysis and forecasting, including advanced mathematical methodology, computational intelligence methods for time series, dimensionality reduction and similarity measures, econometric models, energy time series forecasting, forecasting in real problems, online learning in time series as well as high-dimensional and complex/big data time series.The series of ITISE conferences provides a forum for scientists, engineers, educators and students to discuss the latest ideas and implementations in the foundations, theory, models and applications in the field of time series analysis and forecasting. It focuses on interdisciplinary and multidisciplinary research encompassing computer science, mathematics, statistics and econometrics.
Автор: Clive W. J. Granger Название: Forecasting in Business and Economics, Second Edition ISBN: 0122951816 ISBN-13(EAN): 9780122951817 Издательство: Emerald Рейтинг: Цена: 13516.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Describes the major techniques of forecasting used in economics and business. This book focuses on the forecasting of economic data and covers a range of related topics. It explains how to specify and evaluate simple models from the time series and econometric approaches; discusses the topics of technological and population forecasting; and more.
Автор: Stanley Название: MetaRegression Analysis in Economics and Business ISBN: 1138241148 ISBN-13(EAN): 9781138241145 Издательство: Taylor&Francis Рейтинг: Цена: 8573.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Meta-Regression Analysis in Economics and Business is the first text devoted to the meta-regression analysis (MRA) of economics and business research.
Автор: Harvey, Andrew C. Название: Forecasting, structural time series models and the kalman filter ISBN: 0521405734 ISBN-13(EAN): 9780521405737 Издательство: Cambridge Academ Рейтинг: Цена: 6018.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is concerned with modelling economic and social time series and with addressing the special problems which the treatment of such series pose. It is unique in its use of Kalman filtering with econometric and time series modelling.
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