Sun Li Hsien (14 results)

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
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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- Softcover
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- Softcover
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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
- Softcover
Seller: Books Puddle, New York, U.S.A.Books Puddle
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Condition: 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
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 148 pages. 9.25x6.10x0.35 inches. In Stock.

- Softcover
Seller: Kennys Bookstore, Olney, U.S.A.Kennys Bookstore
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More images- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: 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]spr…inger[dot]com | Anbieter: preigu.

- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: 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 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.

- Softcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, ItalyBrook Bookstore On Demand
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Condition: new. Questo è un articolo print on demand.

- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: 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 othe…r 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
- Softcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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£ 77.93
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Condition: 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
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, GermanyBiblios
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Condition: 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
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Kartoniert / Broschiert. Condition: 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 fo…r implementation  Discusses .

- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, Germanybuchversandmimpf2000
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£ 57.17
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Taschenbuch. Condition: 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 di…sciplines 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.