9789811549977 - copula-based markov models for time series: parametric inference and process control di sun, li-hsien; huang, xin-wei; alqawba, mohammed s.; kim, jong-min; emura, takeshi (14 risultati)
Copula-Based Markov Models for Time Series: Parametric Inference and Process Control (JSS Research Series in Statistics)
Sun, Li-Hsien; Huang, Xin-Wei; Alqawba, Mohammed S.; Kim, Jong-Min; Emura, Takeshi
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Copula-Based Markov Models for Time Series: Parametric Inference and Process Control (JSS Research Series in Statistics)
Sun, Li-Hsien; Huang, Xin-Wei; Alqawba, Mohammed S.; Kim, Jong-Min; Emura, Takeshi
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. pp. 125.
Copula-based Markov Models for Time Series: Parametric Inference and Process Control
Sun, Li-hsien/ Huang, Xin-wei/ Alqawba, Mohammed S./ Kim, Jong-min/ Emura, Takeshi
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 148 pages. 9.25x6.10x0.35 inches. In Stock.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides statistical methodologies for time series data, focusing on copula-based Markov chain models for serially correlated time series. It also includes data examples from economics, engineering, finance, sport and other disciplines t…o illustrate the methods presented. An accessible textbook for students in the fields of economics, management, mathematics, statistics, and related fields wanting to gain insights into the statistical analysis of time series data using copulas, the book also features stand-alone chapters to appeal to researchers.As the subtitle suggests, the book highlights parametric models based on normal distribution, t-distribution, normal mixture distribution, Poisson distribution, and others. Presenting likelihood-based methods as the main statistical tools for fitting the models, the book details the development of computing techniques to find the maximum likelihood estimator. It also addresses statistical process control, as well as Bayesian and regression methods. Lastly, to help readers analyze their data, it provides computer codes (R codes) for most of the statistical methods.
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Altre immagini- Brossura
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Taschenbuch. Condizione: Neu. Copula-Based Markov Models for Time Series | Parametric Inference and Process Control | Li-Hsien Sun (u. a.) | Taschenbuch | xvi | Englisch | 2020 | Springer | EAN 9789811549977 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]sp…ringer[dot]com | Anbieter: preigu.
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Condizione: new. Questo è un articolo print on demand.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides statistical methodologies for time series data, focusing on copula-based Markov chain models for serially correlated time series. It also includes data examples from economics, engineering, finance, sport and oth…er disciplines to illustrate the methods presented. An accessible textbook for students in the fields of economics, management, mathematics, statistics, and related fields wanting to gain insights into the statistical analysis of time series data using copulas, the book also features stand-alone chapters to appeal to researchers.As the subtitle suggests, the book highlights parametric models based on normal distribution, t-distribution, normal mixture distribution, Poisson distribution, and others. Presenting likelihood-based methods as the main statistical tools for fitting the models, the book details the development of computing techniques to find the maximum likelihood estimator. It also addresses statistical process control, as well as Bayesian and regression methods. Lastly, to help readers analyze their data, it provides computer codes (R codes) for most of the statistical methods. 148 pp. Englisch.
Copula-Based Markov Models for Time Series: Parametric Inference and Process Control (JSS Research Series in Statistics)
Sun, Li-Hsien; Huang, Xin-Wei; Alqawba, Mohammed S.; Kim, Jong-Min; Emura, Takeshi
- Brossura
- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand pp. 125.
Copula-Based Markov Models for Time Series: Parametric Inference and Process Control (JSS Research Series in Statistics)
Sun, Li-Hsien; Huang, Xin-Wei; Alqawba, Mohammed S.; Kim, Jong-Min; Emura, Takeshi
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. 125.
Copula-Based Markov Models for Time Series: Parametric Inference and Process Control
Li-Hsien Sun|Xin-Wei Huang|Mohammed S. Alqawba|Jong-Min Kim|Takeshi Emura
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Da: moluna, Greven, Germaniamoluna
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Serves as introductory textbook on the analysis of time series data for students majoring in statistics and related fields  Includes numerous real-world data examples as well as R codes f…or implementation  Discusses .
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides statistical methodologies for time series data, focusing on copula-based Markov chain models for serially correlated time series. It also includes data examples from economics, engineering, finance, sport and other d…isciplines to illustrate the methods presented. An accessible textbook for students in the fields of economics, management, mathematics, statistics, and related fields wanting to gain insights into the statistical analysis of time series data using copulas, the book also features stand-alone chapters to appeal to researchers.As the subtitle suggests, the book highlights parametric models based on normal distribution, t-distribution, normal mixture distribution, Poisson distribution, and others. Presenting likelihood-based methods as the main statistical tools for fitting the models, the book details the development of computing techniques to find the maximum likelihood estimator. It also addresses statistical process control, as well as Bayesian and regression methods. Lastly, to help readers analyze their data, it provides computer codes (R codes) for most of the statistical methods.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 148 pp. Englisch.
