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Time Series, David R. Brillinger



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Автор: David R. Brillinger
Название:  Time Series
Перевод названия: Временной ряд
ISBN: 9780898715019
Издательство: Eurospan
Классификация:
ISBN-10: 0898715016
Обложка/Формат: Paperback
Страницы: 570
Вес: 0.719 кг.
Дата издания: 01.01.2008
Серия: Classics in Applied Mathematics
Издание: New ed
Иллюстрации: Illustrations
Размер: 228 x 154 x 29
Читательская аудитория: Professional & vocational
Подзаголовок: Data analysis and theory
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии
Описание: Intended for students and researchers, this text employs basic techniques of univariate and multivariate statistics for the analysis of time series and signals. It provides a broad collection of theorems, placing the techniques on firm theoretical ground. The techniques, which are illustrated by data analyses, are discussed in both a heuristic and a formal manner, making the book useful for both the applied and the theoretical worker. An extensive set of original exercises is included. Time Series: Data Analysis and Theory takes the Fourier transform of a stretch of time series data as the basic quantity to work with and shows the power of that approach. It considers second- and higher-order parameters and estimates them equally, thereby handling non-Gaussian series and nonlinear systems directly. The included proofs, which are generally short, are based on cumulants.



Time Series Analysis

Автор: Hamilton, James
Название: Time Series Analysis
ISBN: 0691042896 ISBN-13(EAN): 9780691042893
Издательство: Wiley
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Цена: 10296 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.

Time Series Analysis by State Space Methods

Автор: Durbin, James; Koopman, Siem Jan
Название: Time Series Analysis by State Space Methods
ISBN: 019964117X ISBN-13(EAN): 9780199641178
Издательство: Oxford Academ
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Цена: 14414 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.

Forecasting, structural time series models and the kalman filter

Автор: Harvey, Andrew C.
Название: Forecasting, structural time series models and the kalman filter
ISBN: 0521405734 ISBN-13(EAN): 9780521405737
Издательство: Cambridge Academ
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Цена: 8235 р.
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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.

Multivariate Time Series Analysis: With R and Financial Applications

Автор: Ruey S. Tsay
Название: Multivariate Time Series Analysis: With R and Financial Applications
ISBN: 1118617908 ISBN-13(EAN): 9781118617908
Издательство: Wiley
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Цена: 18842 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: An accessible guide to the multivariate time series tools used in numerous real-world applications Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series.

Stochastic and Statistical Methods in Hydrology and Environmental Engineering: Time Series Analysis in Hydrology

Автор: Keith W. Hipel
Название: Stochastic and Statistical Methods in Hydrology and Environmental Engineering: Time Series Analysis in Hydrology
ISBN: 9048143799 ISBN-13(EAN): 9789048143795
Издательство: Springer
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Цена: 28732 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Vol.4: Effective Environmental Management for Sustainable Development

An Introduction to State Space Time Series Analysis

Автор: Commandeur, Jacques J.F.; Koopman, Siem Jan
Название: An Introduction to State Space Time Series Analysis
ISBN: 0199228876 ISBN-13(EAN): 9780199228874
Издательство: Oxford Academ
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Цена: 10296 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This text provides an introduction to time series analysis using state space methodology to readers who are neither familiar with time series analysis, nor with state space methods. This is the first in a series of books designed to provide practitioners, researchers, and students with practical introductions to various topics in econometrics.

Книга  "Periodic Time Series Models " на английском языке/ Авторы P. Franses and R. Paap

Название: Книга "Periodic Time Series Models " на английском языке/ Авторы P. Franses and R. Paap
ISBN: 0199242038 ISBN-13(EAN): 9780199242030
Издательство: Oxford Academ
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Цена: 9504 р.
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Описание: An insightful and up-to-date study of the use of periodic models in the description and forecasting of economic data. Incorporating recent developments in the field, the authors investigate such areas as seasonal time series; periodic time series models; periodic integration; and periodic cointegration. The analysis benefits from the inclusion of many new empirical examples and results.

Periodicity and Stochastic Trends in Economic Time Series

Автор: Franses, Philip Hans
Название: Periodicity and Stochastic Trends in Economic Time Series
ISBN: 0198774540 ISBN-13(EAN): 9780198774549
Издательство: Oxford Academ
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Цена: 8237 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This is an advanced graduate textbook in econometrics. A large proportion of the data studied by econometricians are series of observations of the same variables made over time (time series). This book provides a comprehensive account of how to allow for seasonal fluctuations in these data by using periodic models.

Time Series Analysis and Its Applications

Автор: Robert H. Shumway
Название: Time Series Analysis and Its Applications
ISBN: 1461427592 ISBN-13(EAN): 9781461427599
Издательство: Springer
Рейтинг:
Цена: 12571 р.
Наличие на складе: Нет в наличии.

Описание: Time Series Analysis and Its Applications, presents a comprehensive treatment of both time and frequency domain methods with accompanying theory. Extensive examples illustrate solutions to climate change, monitoring a nuclear test ban treaty, evaluating the volatility of an asset, and more.

Course in time series analysis

Автор: Pena, Daniel S. Tiao, George C. Tsay, Ruey S.
Название: Course in time series analysis
ISBN: 047136164X ISBN-13(EAN): 9780471361640
Издательство: Wiley
Рейтинг:
Цена: 31355 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: New statistical methods and future directions of research in time series A Course in Time Series Analysis demonstrates how to build time series models for univariate and multivariate time series data.

Time Series Analysis for the Social Sciences

Автор: Box-Steffensmeier
Название: Time Series Analysis for the Social Sciences
ISBN: 0521691559 ISBN-13(EAN): 9780521691550
Издательство: Cambridge Academ
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Цена: 4592 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Time Series Analysis for the Social Sciences provides accessible, up-to-date instruction and examples of the core methods in time series econometrics. The book covers ARIMA models, time series regression, unit-root diagnosis, vector autoregressive models, error-correction models, intervention models, fractional integration, ARCH models, structural breaks, and forecasting.

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: 18208 р.
Наличие на складе: Есть у поставщика 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.


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