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Bayesian Modeling of Spatio-temporal Data With R
Book 45 of 45: Chapman & Hall/CRC Interdisciplinary StatisticsLanguage: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032209577 ISBN 13: 9781032209579
Condition: As New. Unread book in perfect condition.
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Bayesian Modeling of Spatio-temporal Data With R
Book 45 of 45: Chapman & Hall/CRC Interdisciplinary StatisticsLanguage: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032209577 ISBN 13: 9781032209579
Condition: New.
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Bayesian Modeling of Spatio-Temporal Data with R (Chapman & Hall/CRC Interdisciplinary Statistics)
Book 45 of 45: Chapman & Hall/CRC Interdisciplinary StatisticsLanguage: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032209577 ISBN 13: 9781032209579
Condition: New.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Bayesian Modeling of Spatio-Temporal Data with R
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Bayesian Modeling of Spatio-temporal Data With R
Book 45 of 45: Chapman & Hall/CRC Interdisciplinary StatisticsLanguage: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032209577 ISBN 13: 9781032209579
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Bayesian Modeling of Spatio-Temporal Data with R (Chapman & Hall/CRC Interdisciplinary Statistics)
Book 45 of 45: Chapman & Hall/CRC Interdisciplinary StatisticsLanguage: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032209577 ISBN 13: 9781032209579
Condition: New. 1st edition NO-PA16APR2015-KAP.
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Bayesian Modeling of Spatio-Temporal Data with R (Chapman & Hall/CRC Interdisciplinary Statistics)
Book 45 of 45: Chapman & Hall/CRC Interdisciplinary StatisticsLanguage: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032209577 ISBN 13: 9781032209579
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Bayesian Modeling of Spatio-temporal Data With R
Book 45 of 45: Chapman & Hall/CRC Interdisciplinary StatisticsLanguage: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032209577 ISBN 13: 9781032209579
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Bayesian Modeling of Spatio-Temporal Data with R
Book 45 of 45: Chapman & Hall/CRC Interdisciplinary StatisticsLanguage: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032209577 ISBN 13: 9781032209579
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Bayesian Modeling of Spatio-Temporal Data with R (Chapman & Hall/CRC Interdisciplinary Statistics)
Book 45 of 45: Chapman & Hall/CRC Interdisciplinary StatisticsLanguage: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032209577 ISBN 13: 9781032209579
Condition: New.
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Bayesian Modeling of Spatio-temporal Data With R
Book 45 of 45: Chapman & Hall/CRC Interdisciplinary StatisticsUS$ 112.54
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Bayesian Modeling of Spatio Temporal Data With R 1Ed
Language: English
Published by T And F Crc Press, 2022
Hardcover. Condition: New. ISBN:9780367277987.
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Bayesian Modelling of Spatio-temporal Data With R
Book 45 of 45: Chapman & Hall/CRC Interdisciplinary StatisticsLanguage: English
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367277980 ISBN 13: 9780367277987
Condition: As New. Unread book in perfect condition.
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Introduction to Probability, Statistics & R
Language: English
Published by Springer International Publishing, Springer Nature Switzerland Apr 2024, 2024
ISBN 10: 3031378644 ISBN 13: 9783031378645
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Neuware -A strong grasp of elementary statistics and probability, along with basic skills in using R, is essential for various scientific disciplines reliant on data analysis. This book serves as a gateway to learning statistical methods from scratch, assuming a solid background in high school mathematics. Readers gradually progress from basic concepts to advanced statistical modelling, with examples from actuarial, biological, ecological, engineering, environmental, medicine, and social sciences highlighting the real-world relevance of the subject. An accompanying R package enables seamless practice and immediate application, making it ideal for beginners.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 580 pp. Englisch.
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Introduction to Probability, Statistics & R : Foundations for Data-Based Sciences
Language: English
Published by Springer International Publishing, 2024
ISBN 10: 3031378644 ISBN 13: 9783031378645
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - A strong grasp of elementary statistics and probability, along with basic skills in using R, is essential for various scientific disciplines reliant on data analysis. This book serves as a gateway to learning statistical methods from scratch, assuming a solid background in high school mathematics. Readers gradually progress from basic concepts to advanced statistical modelling, with examples from actuarial, biological, ecological, engineering, environmental, medicine, and social sciences highlighting the real-world relevance of the subject. An accompanying R package enables seamless practice and immediate application, making it ideal for beginners.The book comprises 19 chapters divided into five parts. Part I introduces basic statistics and the R software package, teaching readers to calculate simple statistics and create basic data graphs. Part II delves into probability concepts, including rules and conditional probability, and introduces widelyused discrete and continuous probability distributions (e.g., binomial, Poisson, normal, log-normal). It concludes with the central limit theorem and joint distributions for multiple random variables. Part III explores statistical inference, covering point and interval estimation, hypothesis testing, and Bayesian inference. This part is intentionally less technical, making it accessible to readers without an extensive mathematical background. Part IV addresses advanced probability and statistical distribution theory, assuming some familiarity with (or concurrent study of) mathematical methods like advanced calculus and linear algebra. Finally, Part V focuses on advanced statistical modelling using simple and multiple regression and analysis of variance, laying the foundation for further studies in machine learning and data science applicable to various data and decision analytics contexts.Based on years of teaching experience, this textbook includes numerousexercises and makes extensive use of R, making it ideal for year-long data science modules and courses. In addition to university courses, the book amply covers the syllabus for the Actuarial Statistics 1 examination of the Institute and Faculty of Actuaries in London. It also provides a solid foundation for postgraduate studies in statistics and probability, or a reliable reference for statistics.
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Bayesian Modelling of Spatio-temporal Data With R
Book 45 of 45: Chapman & Hall/CRC Interdisciplinary StatisticsLanguage: English
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367277980 ISBN 13: 9780367277987
Condition: New.
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Bayesian Modeling of Spatio-Temporal Data with R (Chapman & Hall/CRC Interdisciplinary Statistics)
Book 45 of 45: Chapman & Hall/CRC Interdisciplinary StatisticsLanguage: English
Published by Taylor & Francis Group, 2022
ISBN 10: 0367277980 ISBN 13: 9780367277987
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Bayesian Modelling of Spatio-Temporal Data with R
Book 45 of 45: Chapman & Hall/CRC Interdisciplinary StatisticsLanguage: English
Published by Taylor & Francis Ltd, 2022
ISBN 10: 0367277980 ISBN 13: 9780367277987
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
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Bayesian Modeling of Spatio-Temporal Data with R (Chapman & Hall/CRC Interdisciplinary Statistics)
Book 45 of 45: Chapman & Hall/CRC Interdisciplinary StatisticsLanguage: English
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367277980 ISBN 13: 9780367277987
Condition: New.
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Bayesian Modelling of Spatio-temporal Data With R
Book 45 of 45: Chapman & Hall/CRC Interdisciplinary StatisticsLanguage: English
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367277980 ISBN 13: 9780367277987
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 151.51
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Add to basketCondition: As New. Unread book in perfect condition.
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Bayesian Modelling of Spatio-temporal Data With R
Book 45 of 45: Chapman & Hall/CRC Interdisciplinary StatisticsLanguage: English
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367277980 ISBN 13: 9780367277987
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Bayesian Modeling of Spatio-Temporal Data with R (Chapman & Hall/CRC Interdisciplinary Statistics)
Book 45 of 45: Chapman & Hall/CRC Interdisciplinary StatisticsLanguage: English
Published by Taylor & Francis Group, 2022
ISBN 10: 0367277980 ISBN 13: 9780367277987
Condition: New. 1st edition NO-PA16APR2015-KAP.
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Bayesian Modeling of Spatio-Temporal Data with R (Chapman & Hall/CRC Interdisciplinary Statistics)
Book 45 of 45: Chapman & Hall/CRC Interdisciplinary StatisticsLanguage: English
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367277980 ISBN 13: 9780367277987
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Bayesian Modeling of Spatio-Temporal Data with R (Chapman & Hall/CRC Interdisciplinary Statistics)
Book 45 of 45: Chapman & Hall/CRC Interdisciplinary StatisticsLanguage: English
Published by Taylor & Francis Group, 2022
ISBN 10: 0367277980 ISBN 13: 9780367277987
Condition: New.
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Skew-Elliptical Distributions and Their Applications: A Journey Beyond Normality
Language: English
Published by Chapman and Hall/CRC 2004-07-27, 2004
ISBN 10: 1584884312 ISBN 13: 9781584884316
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Bayesian Modeling of Spatio-Temporal Data with R (Chapman & Hall/CRC Interdisciplinary Statistics)
Book 45 of 45: Chapman & Hall/CRC Interdisciplinary StatisticsLanguage: English
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367277980 ISBN 13: 9780367277987
US$ 228.61
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Add to basketHardcover. Condition: Brand New. 411 pages. 9.25x6.25x1.25 inches. In Stock.
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Condition: new. Questo è un articolo print on demand.
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Introduction to Probability, Statistics & R
Language: English
Published by Springer, Berlin, Springer International Publishing, Springer Jan 2024, 2024
ISBN 10: 3031378644 ISBN 13: 9783031378645
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A strong grasp of elementary statistics and probability, along with basic skills in using R, is essential for various scientific disciplines reliant on data analysis. This book serves as a gateway to learning statistical methods from scratch, assuming a solid background in high school mathematics. Readers gradually progress from basic concepts to advanced statistical modelling, with examples from actuarial, biological, ecological, engineering, environmental, medicine, and social sciences highlighting the real-world relevance of the subject. An accompanying R package enables seamless practice and immediate application, making it ideal for beginners.The book comprises 19 chapters divided into five parts. Part I introduces basic statistics and the R software package, teaching readers to calculate simple statistics and create basic data graphs. Part II delves into probability concepts, including rules and conditional probability, and introduces widelyused discrete and continuous probability distributions (e.g., binomial, Poisson, normal, log-normal). It concludes with the central limit theorem and joint distributions for multiple random variables. Part III explores statistical inference, covering point and interval estimation, hypothesis testing, and Bayesian inference. This part is intentionally less technical, making it accessible to readers without an extensive mathematical background. Part IV addresses advanced probability and statistical distribution theory, assuming some familiarity with (or concurrent study of) mathematical methods like advanced calculus and linear algebra. Finally, Part V focuses on advanced statistical modelling using simple and multiple regression and analysis of variance, laying the foundation for further studies in machine learning and data science applicable to various data and decision analytics contexts.Based on years of teaching experience, this textbook includes numerousexercises and makes extensive use of R, making it ideal for year-long data science modules and courses. In addition to university courses, the book amply covers the syllabus for the Actuarial Statistics 1 examination of the Institute and Faculty of Actuaries in London. It also provides a solid foundation for postgraduate studies in statistics and probability, or a reliable reference for statistics. 555 pp. Englisch.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Sujit K. Sahu is a Professor of Statistics at the University of Southampton. He has co-authored more than 60 papers on Bayesian computation and modeling of spatio-temporal data. He has also contributed to writing specialist R packages for modeling and analy.
