Hale Robert Time Series Analysis in Meteorology and Climatology. An Introduction
Купить за 10425.43 RUR
Time Series Analysis in Meteorology and Climatology provides an accessible overview of this notoriously difficult subject. Clearly structured throughout, the authors develop sufficient theoretical foundation to understand the basis for applying various analytical methods to a time series and show
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William Wei W.S. Multivariate Time Series Analysis and Applications
Купить за 11084.03 RUR
An essential guide on high dimensional multivariate time series including all the latest topics from one of the leading experts in the field Following the highly successful and much lauded book, Time Series Analysis—Univariate and Multivariate Methods, this new work by William W.S. Wei focuses on
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Ruey Tsay S. A Course in Time Series Analysis
Купить за 21813.94 RUR
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. It brings together material previously available only in the professional literature and presents
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Rong Chen Nonlinear Time Series Analysis
Купить за 10776.14 RUR
A comprehensive resource that draws a balance between theory and applications of nonlinear time series analysis Nonlinear Time Series Analysis offers an important guide to both parametric and nonparametric methods, nonlinear state-space models, and Bayesian as well as classical approaches to
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Uwe Hassler Time Series Analysis with Long Memory in View
Купить за 10391.27 RUR
Provides a simple exposition of the basic time series material, and insights into underlying technical aspects and methods of proof Long memory time series are characterized by a strong dependence between distant events. This book introduces readers to the theory and foundations of univariate time
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Katsuto Tanaka Time Series Analysis
Купить за 13097.81 RUR
Reflects the developments and new directions in the field since the publication of the first successful edition and contains a complete set of problems and solutions This revised and expanded edition reflects the developments and new directions in the field since the publication of the first
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Wilfredo Palma Time Series Analysis
Купить за 13015.74 RUR
A modern and accessible guide to the analysis of introductory time series data Featuring an organized and self-contained guide, Time Series Analysis provides a broad introduction to the most fundamental methodologies and techniques of time series analysis. The book focuses on the treatment of
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Gregory C. Reinsel Time Series Analysis
Купить за 14398.32 RUR
Praise for the Fourth Edition “The book follows faithfully the style of the original edition. The approach is heavily motivated by real-world time series, and by developing a complete approach to model building, estimation, forecasting and control." – Mathematical Reviews Bridging classical models
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Financial Time Series Analysis (3rd Edition)
Купить за 2080 RUR
Следите за акциями и распродажами в августе 2026 от ООО ДЖУМ ИНН 7714448295 , www.joom.ru.
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Douglas C. Montgomery Introduction to Time Series Analysis and Forecasting
Купить за 13015.74 RUR
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.» -MAA Reviews Thoroughly updated throughout, Introduction to Time Series Analysis and Forecasting, Second Edition presents the
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Marc Paolella S. Linear Models and Time-Series Analysis. Regression, ANOVA, ARMA and GARCH
Купить за 13855.03 RUR
A comprehensive and timely edition on an emerging new trend in time series Linear Models and Time-Series Analysis: Regression, ANOVA, ARMA and GARCH sets a strong foundation, in terms of distribution theory, for the linear model (regression and ANOVA), univariate time series analysis (ARMAX and
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Ruey S. Tsay Multivariate Time Series Analysis
Купить за 13480.2 RUR
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. Through a
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