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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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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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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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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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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Financial Time Series Analysis (3rd Edition)
Купить за 2080 RUR
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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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Группа авторов Analysis of Financial Time Series
Купить за 13906.84 RUR
Provides statistical tools and techniques needed to understand today's financial markets The Second Edition of this critically acclaimed text provides a comprehensive and systematic introduction to financial econometric models and their applications in modeling and predicting financial time series
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Группа авторов Fourier Analysis of Time Series
Купить за 17477.55 RUR
A new, revised edition of a yet unrivaled work on frequency domain analysis Long recognized for his unique focus on frequency domain methods for the analysis of time series data as well as for his applied, easy-to-understand approach, Peter Bloomfield brings his well-known 1976 work thoroughly up
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Jens Timmer Handbook of Time Series Analysis
Купить за 28941.27 RUR
This handbook provides an up-to-date survey of current research topics and applications of time series analysis methods written by leading experts in their fields. It covers recent developments in univariate as well as bivariate and multivariate time series analysis techniques ranging from physics'
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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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