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Applied Bayesian Forecasting and Time Series Analysis, Pole, Andy , West, Mike , Harrison, Jeff


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Цена: 63280.00T
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Склад Америка: 233 шт.  
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Автор: Pole, Andy , West, Mike , Harrison, Jeff
Название:  Applied Bayesian Forecasting and Time Series Analysis
ISBN: 9780367449384
Издательство: Taylor&Francis
Классификация:


ISBN-10: 0367449382
Обложка/Формат: Paperback
Страницы: 432
Вес: 0.80 кг.
Дата издания: 29.11.2019
Язык: English
Размер: 234 x 156 x 22
Читательская аудитория: Tertiary education (us: college)
Основная тема: Mathematics & Statistics for Engineers
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: This book is about practical forecasting and analysis of time series. It describes how to analyse time series data, how to identify structure, how to explain observed behaviour, how to model structures and behaviours, and how to use insight gained from the analysis to make informed forecasts.

Time Series Analysis

Автор: Hamilton, James
Название: Time Series Analysis
ISBN: 0691042896 ISBN-13(EAN): 9780691042893
Издательство: Wiley
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Цена: 73920.00 T
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.

Advanced Time Series Data Analysis: Forecasting Using Eviews

Автор: Agung
Название: Advanced Time Series Data Analysis: Forecasting Using Eviews
ISBN: 1119504716 ISBN-13(EAN): 9781119504719
Издательство: Wiley
Рейтинг:
Цена: 90760.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Introduces the latest developments in forecasting in advanced quantitative data analysis

This book presents advanced univariate multiple regressions, which can directly be used to forecast their dependent variables, evaluate their in-sample forecast values, and compute forecast values beyond the sample period. Various alternative multiple regressions models are presented based on a single time series, bivariate, and triple time-series, which are developed by taking into account specific growth patterns of each dependent variables, starting with the simplest model up to the most advanced model. Graphs of the observed scores and the forecast evaluation of each of the models are offered to show the worst and the best forecast models among each set of the models of a specific independent variable.

Advanced Time Series Data Analysis: Forecasting Using EViews provides readers with a number of modern, advanced forecast models not featured in any other book. They include various interaction models, models with alternative trends (including the models with heterogeneous trends), and complete heterogeneous models for monthly time series, quarterly time series, and annually time series. Each of the models can be applied by all quantitative researchers.

  • Presents models that are all classroom tested
  • Contains real-life data samples
  • Contains over 350 equation specifications of various time series models
  • Contains over 200 illustrative examples with special notes and comments
  • Applicable for time series data of all quantitative studies

Advanced Time Series Data Analysis: Forecasting Using EViews will appeal to researchers and practitioners in forecasting models, as well as those studying quantitative data analysis. It is suitable for those wishing to obtain a better knowledge and understanding on forecasting, specifically the uncertainty of forecast values.


Time Series Analysis: Forecasting and Control, 4th Edition

Автор: Box G. E. P.
Название: Time Series Analysis: Forecasting and Control, 4th Edition
ISBN: 0470272848 ISBN-13(EAN): 9780470272848
Издательство: Wiley
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Цена: 123550.00 T
Наличие на складе: Поставка под заказ.
Описание: This is a revision of a classic, seminal, and authoritative book that has been the model for most books on the topic written since 1970. It focuses on practical techniques throughout, rather than a rigorous mathematical treatment of the subject. It explores the building of stochastic (statistical) models for time series and their use in important areas of application forecasting, model specification, estimation, modeling the effects of intervention events, and process control, among others. In addition to meticulous modifications in content and improvements in style, the new edition incorporates several new topics in an effort to modernize the subject matter. These topics include extensive discussions of multivariate time series, smoothing, likelihood function based on the state space model, autoregressive models, structural component models and deterministic seasonal components, and nonlinear and long memory models.

Introduction to Time Series Analysis and Forecasting

Автор: Douglas C. Montgomery,Cheryl L. Jennings,Murat Kul
Название: Introduction to Time Series Analysis and Forecasting
ISBN: 1118745116 ISBN-13(EAN): 9781118745113
Издательство: Wiley
Рейтинг:
Цена: 121390.00 T
Наличие на складе: Поставка под заказ.
Описание: Praise for the First Edition " [t]he book is great for readers who need to apply the methods and models presented but have little background in mathematics and statistics.

Elements of Nonlinear Time Series Analysis and Forecasting

Автор: Jan G. De Gooijer
Название: Elements of Nonlinear Time Series Analysis and Forecasting
ISBN: 3319432516 ISBN-13(EAN): 9783319432519
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book provides an overview of the current state-of-the-art of nonlinear time series analysis, richly illustrated with examples, pseudocode algorithms and real-world applications.

Advances in Time Series Analysis and Forecasting

Автор: Ignacio Rojas; H?ctor Pomares; Olga Valenzuela
Название: Advances in Time Series Analysis and Forecasting
ISBN: 3319557882 ISBN-13(EAN): 9783319557885
Издательство: Springer
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Цена: 135090.00 T
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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.

Time Series Analysis and Forecasting

Автор: Ignacio Rojas; H?ctor Pomares
Название: Time Series Analysis and Forecasting
ISBN: 3319287230 ISBN-13(EAN): 9783319287232
Издательство: Springer
Рейтинг:
Цена: 135090.00 T
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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.


Time Series Analysis and Forecasting: Selected Contributions from Itise 2017

Автор: Rojas Ignacio, Pomares Hector, Valenzuela Olga
Название: Time Series Analysis and Forecasting: Selected Contributions from Itise 2017
ISBN: 3319969439 ISBN-13(EAN): 9783319969435
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Time Series Analysis and Forecasting

Автор: Ignacio Rojas; H?ctor Pomares; Olga Valenzuela
Название: Time Series Analysis and Forecasting
ISBN: 3030072762 ISBN-13(EAN): 9783030072766
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Probabilistic Forecasting and Bayesian Data Assimilation

Автор: Reich
Название: Probabilistic Forecasting and Bayesian Data Assimilation
ISBN: 1107069394 ISBN-13(EAN): 9781107069398
Издательство: Cambridge Academ
Рейтинг:
Цена: 128830.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on the Bayesian approach to data assimilation, outlining the subject`s key ideas and concepts, and explaining how to implement specific data assimilation algorithms. It is an ideal introduction for graduate students in applied mathematics, computer science, engineering, geoscience and other emerging application areas.

Probabilistic Forecasting and Bayesian Data Assimilation

Автор: Reich
Название: Probabilistic Forecasting and Bayesian Data Assimilation
ISBN: 1107663911 ISBN-13(EAN): 9781107663916
Издательство: Cambridge Academ
Рейтинг:
Цена: 49630.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on the Bayesian approach to data assimilation, outlining the subject`s key ideas and concepts, and explaining how to implement specific data assimilation algorithms. It is an ideal introduction for graduate students in applied mathematics, computer science, engineering, geoscience and other emerging application areas.

Bayesian Analysis of Time Series

Автор: Lyle D. Broemeling
Название: Bayesian Analysis of Time Series
ISBN: 1138591521 ISBN-13(EAN): 9781138591523
Издательство: Taylor&Francis
Рейтинг:
Цена: 163330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book will describe how to use models that explain the probabilistic characteristics of a time series while the Bayesian approach will provide inferences about those probabilistic characteristics.


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