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Mathematical Foundations of Time Series Analysis, Jan Beran


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Автор: Jan Beran
Название:  Mathematical Foundations of Time Series Analysis
ISBN: 9783030089757
Издательство: Springer
Классификация:

ISBN-10: 3030089754
Обложка/Формат: Soft cover
Страницы: 307
Вес: 0.49 кг.
Дата издания: 2017
Язык: English
Издание: Softcover reprint of
Иллюстрации: IX, 307 p.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Statistics
Подзаголовок: A Concise Introduction
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: This book provides a concise introduction to the mathematical foundations of time series analysis, with an emphasis on mathematical clarity. The text is reduced to the essential logical core, mostly using the symbolic language of mathematics, thus enabling readers to very quickly grasp the essential reasoning behind time series analysis.


Time Series Analysis

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

Mathematical Foundations of Time Series Analysis

Автор: Beran, Jan
Название: Mathematical Foundations of Time Series Analysis
ISBN: 3319743783 ISBN-13(EAN): 9783319743783
Издательство: Springer
Рейтинг:
Цена: 20962.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides a concise introduction to the mathematical foundations of time series analysis, with an emphasis on mathematical clarity. The text is reduced to the essential logical core, mostly using the symbolic language of mathematics, thus enabling readers to very quickly grasp the essential reasoning behind time series analysis.

Weighing the odds

Автор: David Williams
Название: Weighing the odds
ISBN: 052100618X ISBN-13(EAN): 9780521006187
Издательство: Cambridge Academ
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Цена: 11880.00 р.
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Описание: A lively book enriched with examples drawn from all manner of applications. Statistics chapters present both the Frequentist and Bayesian approaches, emphasising Confidence Intervals rather than Hypothesis Tests. C or WinBUGS code is provided for computational examples and simulations. Many exercises are included; hints or solutions are often provided.

Mathematics of keno and lotteries

Автор: Bollman, Mark (albion College, Albion, Michigan, Usa)
Название: Mathematics of keno and lotteries
ISBN: 113872372X ISBN-13(EAN): 9781138723726
Издательство: Taylor&Francis
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Цена: 8879.00 р.
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Описание: Mathematics of Keno and Lotteries is an elementary treatment of the mathematics, primarily probability and simple combinatorics, involved in lotteries and keno. Keno has a long history as a high-advantage, high-payoff casino game, and state lottery games such as Powerball are mathematically similar.

Mathematics of Keno and Lotteries

Автор: Bollman
Название: Mathematics of Keno and Lotteries
ISBN: 1138723800 ISBN-13(EAN): 9781138723801
Издательство: Taylor&Francis
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Цена: 23734.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Mathematics of Keno and Lotteries is an elementary treatment of the mathematics, primarily probability and simple combinatorics, involved in lotteries and keno. Keno has a long history as a high-advantage, high-payoff casino game, and state lottery games such as Powerball are mathematically similar.

Mathematical Foundations of Data Science Using R

Автор: Matthias Dehmer, Salissou Moutari, Frank Emmert-Streib
Название: Mathematical Foundations of Data Science Using R
ISBN: 311056467X ISBN-13(EAN): 9783110564679
Издательство: Walter de Gruyter
Цена: 9288.00 р.
Наличие на складе: Нет в наличии.

Описание:

In order best exploit the incredible quantities of data being generated in most diverse disciplines data sciences increasingly gain worldwide importance. The book gives the mathematical foundations to handle data properly. It introduces basics and functionalities of the R programming language which has become the indispensable tool for data sciences. Thus it delivers the reader the skills needed to build own tool kits of a modern data scientist.

Quantum Harmonic Analysis

Автор: Maurice A. de Gosson
Название: Quantum Harmonic Analysis
ISBN: 3110722615 ISBN-13(EAN): 9783110722611
Издательство: Walter de Gruyter
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Цена: 24909.00 р.
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Описание:

The series is devoted to the publication of high-level monographs and specialized graduate texts which cover classical and modern analysis, partial differential equations with natural connections to geometry and the interplays between these fields and their applications to mathematical physics.

Editor-in-Chief
Jie Xiao, Memorial University, Canada

Editorial Board
Der-Chen Chang, Georgetown University, USA
Goong Chen, Texas A&M University, USA
Andrea Colesanti, University of Florence, Italy
Robert McCann, University of Toronto, Canada
De-Qi Zhang, National University of Singapore, Singapore
Kehe Zhu, University at Albany, USA

Please send any book proposals to Jie Xiao.

Identifiability and Regression Analysis of Biological Systems Models: Statistical and Mathematical Foundations and R Scripts

Автор: Lecca Paola
Название: Identifiability and Regression Analysis of Biological Systems Models: Statistical and Mathematical Foundations and R Scripts
ISBN: 3030412547 ISBN-13(EAN): 9783030412548
Издательство: Springer
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Цена: 6986.00 р.
Наличие на складе: Поставка под заказ.

Описание: This richly illustrated book presents the objectives of, and the latest techniques for, the identifiability analysis and standard and robust regression analysis of complex dynamical models.

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
Рейтинг:
Цена: 18842.00 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.

Spectral Analysis for Univariate Time Series

Автор: Donald B. Percival, Andrew T. Walden
Название: Spectral Analysis for Univariate Time Series
ISBN: 1107028140 ISBN-13(EAN): 9781107028142
Издательство: Cambridge Academ
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Цена: 14573.00 р.
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Описание: Spectral analysis is an important technique for interpreting time series data. This book uses the R language and real world examples to show data analysts interested in time series in the environmental, engineering and physical sciences how to bridge the gap between the statistical theory behind spectral analysis and its application to actual data.

The Foundations of Modern Time Series Analysis

Автор: Mills Terence C.
Название: The Foundations of Modern Time Series Analysis
ISBN: 134933135X ISBN-13(EAN): 9781349331352
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book develops the analysis of Time Series from its formal beginnings in the 1890s through to the publication of Box and Jenkins` watershed publication in 1970, showing how these methods laid the foundations for the modern techniques of Time Series analysis that are in use today.

Nonparametric Statistics - A Step-by-Step Approach  2e

Автор: Corder
Название: Nonparametric Statistics - A Step-by-Step Approach 2e
ISBN: 1118840313 ISBN-13(EAN): 9781118840313
Издательство: Wiley
Рейтинг:
Цена: 13139.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: a very useful resource for courses in nonparametric statistics in which the emphasis is on applications rather than on theory. It also deserves a place in libraries of all institutions where introductory statistics courses are taught.


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