Statistical computing second edition di rizzo maria (28 risultati)
Lingua: Inglese
Editore: Routledge, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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Lingua: Inglese
Editore: Routledge, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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Lingua: Inglese
Editore: Routledge, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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Lingua: Inglese
Editore: Routledge, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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Lingua: Inglese
Editore: Routledge, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Lingua: Inglese
Editore: Routledge, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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Lingua: Inglese
Editore: Routledge, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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Lingua: Inglese
Editore: Routledge, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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Lingua: Inglese
Editore: Routledge, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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hardcover. Condizione: New. 2nd Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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Lingua: Inglese
Editore: Routledge, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Condizione: New. In.
Lingua: Inglese
Editore: Routledge 2019-03-21, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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Da: Chiron Media, Wallingford, Regno UnitoChiron Media
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Hardcover. Condizione: New.
Lingua: Inglese
Editore: Taylor & Francis Inc, Bosa Roca, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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Hardcover. Condizione: new. Hardcover. Praise for the First Edition:". . . the book serves as an excellent tutorial on the R language, providing examples that illustrate programming concepts in the context of practical computational problems. The book will be of great interest for all specialists working on computational statist…ics and Monte Carlo methods for modeling and simulation." Tzvetan Semerdjiev, Zentralblatt MathComputational statistics and statistical computing are two areas within statistics that may be broadly described as computational, graphical, and numerical approaches to solving statistical problems. Like its bestselling predecessor, Statistical Computing with R, Second Edition covers the traditional core material of these areas with an emphasis on using the R language via an examples-based approach. The new edition is up-to-date with the many advances that have been made in recent years. Features Provides an overview of computational statistics and an introduction to the R computing environment. Focuses on implementation rather than theory. Explores key topics in statistical computing including Monte Carlo methods in inference, bootstrap and jackknife, permutation tests, Markov chain Monte Carlo (MCMC) methods, and density estimation. Includes new sections, exercises and applications as well as new chapters on resampling methods and programming topics. Includes coverage of recent advances including R Studio, the tidyverse, knitr and ggplot2 Accompanied by online supplements available on GitHub including R code for all the exercises as well as tutorials and extended examples on selected topics.Suitable for an introductory course in computational statistics or for self-study, Statistical Computing with R, Second Edition provides a balanced, accessible introduction to computational statistics and statistical computing.About the AuthorMaria Rizzo is Professor in the Department of Mathematics and Statistics at Bowling Green State University in Bowling Green, Ohio, where she teaches statistics, actuarial science, computational statistics, statistical programming and data science. Prior to joining the faculty at BGSU in 2006, she was Assistant Professor in the Department of Mathematics at Ohio University in Athens, Ohio. Her main research area is energy statistics and distance correlation. She is the software developer and maintainer of the energy package for R. She also enjoys writing books including a forthcoming joint research monograph on energy statistics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Taylor and Francis Inc, US, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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Da: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
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Hardback. Condizione: New. Praise for the First Edition:". . . the book serves as an excellent tutorial on the R language, providing examples that illustrate programming concepts in the context of practical computational problems. The book will be of great interest for all specialists working on computational statistics and Mont…e Carlo methods for modeling and simulation." - Tzvetan Semerdjiev, Zentralblatt MathComputational statistics and statistical computing are two areas within statistics that may be broadly described as computational, graphical, and numerical approaches to solving statistical problems. Like its bestselling predecessor, Statistical Computing with R, Second Edition covers the traditional core material of these areas with an emphasis on using the R language via an examples-based approach. The new edition is up-to-date with the many advances that have been made in recent years. Features Provides an overview of computational statistics and an introduction to the R computing environment. Focuses on implementation rather than theory. Explores key topics in statistical computing including Monte Carlo methods in inference, bootstrap and jackknife, permutation tests, Markov chain Monte Carlo (MCMC) methods, and density estimation. Includes new sections, exercises and applications as well as new chapters on resampling methods and programming topics. Includes coverage of recent advances including R Studio, the tidyverse, knitr and ggplot2 Accompanied by online supplements available on GitHub including R code for all the exercises as well as tutorials and extended examples on selected topics.Suitable for an introductory course in computational statistics or for self-study, Statistical Computing with R, Second Edition provides a balanced, accessible introduction to computational statistics and statistical computing.About the AuthorMaria Rizzo is Professor in the Department of Mathematics and Statistics at Bowling Green State University in Bowling Green, Ohio, where she teaches statistics, actuarial science, computational statistics, statistical programming and data science. Prior to joining the faculty at BGSU in 2006, she was Assistant Professor in the Department of Mathematics at Ohio University in Athens, Ohio. Her main research area is energy statistics and distance correlation. She is the software developer and maintainer of the energy package for R. She also enjoys writing books including a forthcoming joint research monograph on energy statistics.
Lingua: Inglese
Editore: Taylor & Francis Inc, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Lingua: Inglese
Editore: T&F,Crc Press,, 2019
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Hardcover. Condizione: New. ISBN:9781466553323.
Lingua: Inglese
Editore: Taylor and Francis Inc, US, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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Hardback. Condizione: New. Praise for the First Edition:". . . the book serves as an excellent tutorial on the R language, providing examples that illustrate programming concepts in the context of practical computational problems. The book will be of great interest for all specialists working on computational statistics and Mont…e Carlo methods for modeling and simulation." - Tzvetan Semerdjiev, Zentralblatt MathComputational statistics and statistical computing are two areas within statistics that may be broadly described as computational, graphical, and numerical approaches to solving statistical problems. Like its bestselling predecessor, Statistical Computing with R, Second Edition covers the traditional core material of these areas with an emphasis on using the R language via an examples-based approach. The new edition is up-to-date with the many advances that have been made in recent years. Features Provides an overview of computational statistics and an introduction to the R computing environment. Focuses on implementation rather than theory. Explores key topics in statistical computing including Monte Carlo methods in inference, bootstrap and jackknife, permutation tests, Markov chain Monte Carlo (MCMC) methods, and density estimation. Includes new sections, exercises and applications as well as new chapters on resampling methods and programming topics. Includes coverage of recent advances including R Studio, the tidyverse, knitr and ggplot2 Accompanied by online supplements available on GitHub including R code for all the exercises as well as tutorials and extended examples on selected topics.Suitable for an introductory course in computational statistics or for self-study, Statistical Computing with R, Second Edition provides a balanced, accessible introduction to computational statistics and statistical computing.About the AuthorMaria Rizzo is Professor in the Department of Mathematics and Statistics at Bowling Green State University in Bowling Green, Ohio, where she teaches statistics, actuarial science, computational statistics, statistical programming and data science. Prior to joining the faculty at BGSU in 2006, she was Assistant Professor in the Department of Mathematics at Ohio University in Athens, Ohio. Her main research area is energy statistics and distance correlation. She is the software developer and maintainer of the energy package for R. She also enjoys writing books including a forthcoming joint research monograph on energy statistics.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Hardcover. Condizione: New. New. book.
Lingua: Inglese
Editore: Taylor & Francis Inc, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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Condizione: New. 2019. 2nd Edition. Hardcover. . . . . .
Lingua: Inglese
Editore: T&F/CRC PRESS, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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- Edizione Internazionale
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Hardcover. Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be req…uested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Lingua: Inglese
Editore: CRC Press, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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Condizione: New. Praise for the First Edition: . . . the book serves as an excellent tutorial on the R language, providing examples that illustrate programming concepts in the context of practical computational problems. The book will be of great interest for all .
Lingua: Inglese
Editore: Taylor and Francis Inc, US, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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Da: Rarewaves USA United, OSWEGO, IL, U.S.A.Rarewaves USA United
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Hardback. Condizione: New. Praise for the First Edition:". . . the book serves as an excellent tutorial on the R language, providing examples that illustrate programming concepts in the context of practical computational problems. The book will be of great interest for all specialists working on computational statistics and Mont…e Carlo methods for modeling and simulation." - Tzvetan Semerdjiev, Zentralblatt MathComputational statistics and statistical computing are two areas within statistics that may be broadly described as computational, graphical, and numerical approaches to solving statistical problems. Like its bestselling predecessor, Statistical Computing with R, Second Edition covers the traditional core material of these areas with an emphasis on using the R language via an examples-based approach. The new edition is up-to-date with the many advances that have been made in recent years. Features Provides an overview of computational statistics and an introduction to the R computing environment. Focuses on implementation rather than theory. Explores key topics in statistical computing including Monte Carlo methods in inference, bootstrap and jackknife, permutation tests, Markov chain Monte Carlo (MCMC) methods, and density estimation. Includes new sections, exercises and applications as well as new chapters on resampling methods and programming topics. Includes coverage of recent advances including R Studio, the tidyverse, knitr and ggplot2 Accompanied by online supplements available on GitHub including R code for all the exercises as well as tutorials and extended examples on selected topics.Suitable for an introductory course in computational statistics or for self-study, Statistical Computing with R, Second Edition provides a balanced, accessible introduction to computational statistics and statistical computing.About the AuthorMaria Rizzo is Professor in the Department of Mathematics and Statistics at Bowling Green State University in Bowling Green, Ohio, where she teaches statistics, actuarial science, computational statistics, statistical programming and data science. Prior to joining the faculty at BGSU in 2006, she was Assistant Professor in the Department of Mathematics at Ohio University in Athens, Ohio. Her main research area is energy statistics and distance correlation. She is the software developer and maintainer of the energy package for R. She also enjoys writing books including a forthcoming joint research monograph on energy statistics.
Lingua: Inglese
Editore: Taylor & Francis Inc, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Condizione: New. 2019. 2nd Edition. Hardcover. . . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: Taylor and Francis Inc, US, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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Hardback. Condizione: New. Praise for the First Edition:". . . the book serves as an excellent tutorial on the R language, providing examples that illustrate programming concepts in the context of practical computational problems. The book will be of great interest for all specialists working on computational statistics and Mont…e Carlo methods for modeling and simulation." - Tzvetan Semerdjiev, Zentralblatt MathComputational statistics and statistical computing are two areas within statistics that may be broadly described as computational, graphical, and numerical approaches to solving statistical problems. Like its bestselling predecessor, Statistical Computing with R, Second Edition covers the traditional core material of these areas with an emphasis on using the R language via an examples-based approach. The new edition is up-to-date with the many advances that have been made in recent years. Features Provides an overview of computational statistics and an introduction to the R computing environment. Focuses on implementation rather than theory. Explores key topics in statistical computing including Monte Carlo methods in inference, bootstrap and jackknife, permutation tests, Markov chain Monte Carlo (MCMC) methods, and density estimation. Includes new sections, exercises and applications as well as new chapters on resampling methods and programming topics. Includes coverage of recent advances including R Studio, the tidyverse, knitr and ggplot2 Accompanied by online supplements available on GitHub including R code for all the exercises as well as tutorials and extended examples on selected topics.Suitable for an introductory course in computational statistics or for self-study, Statistical Computing with R, Second Edition provides a balanced, accessible introduction to computational statistics and statistical computing.About the AuthorMaria Rizzo is Professor in the Department of Mathematics and Statistics at Bowling Green State University in Bowling Green, Ohio, where she teaches statistics, actuarial science, computational statistics, statistical programming and data science. Prior to joining the faculty at BGSU in 2006, she was Assistant Professor in the Department of Mathematics at Ohio University in Athens, Ohio. Her main research area is energy statistics and distance correlation. She is the software developer and maintainer of the energy package for R. She also enjoys writing books including a forthcoming joint research monograph on energy statistics.
Lingua: Inglese
Editore: Taylor & Francis Inc, Bosa Roca, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Hardcover. Condizione: new. Hardcover. Praise for the First Edition:". . . the book serves as an excellent tutorial on the R language, providing examples that illustrate programming concepts in the context of practical computational problems. The book will be of great interest for all specialists working on computational statist…ics and Monte Carlo methods for modeling and simulation." Tzvetan Semerdjiev, Zentralblatt MathComputational statistics and statistical computing are two areas within statistics that may be broadly described as computational, graphical, and numerical approaches to solving statistical problems. Like its bestselling predecessor, Statistical Computing with R, Second Edition covers the traditional core material of these areas with an emphasis on using the R language via an examples-based approach. The new edition is up-to-date with the many advances that have been made in recent years. Features Provides an overview of computational statistics and an introduction to the R computing environment. Focuses on implementation rather than theory. Explores key topics in statistical computing including Monte Carlo methods in inference, bootstrap and jackknife, permutation tests, Markov chain Monte Carlo (MCMC) methods, and density estimation. Includes new sections, exercises and applications as well as new chapters on resampling methods and programming topics. Includes coverage of recent advances including R Studio, the tidyverse, knitr and ggplot2 Accompanied by online supplements available on GitHub including R code for all the exercises as well as tutorials and extended examples on selected topics.Suitable for an introductory course in computational statistics or for self-study, Statistical Computing with R, Second Edition provides a balanced, accessible introduction to computational statistics and statistical computing.About the AuthorMaria Rizzo is Professor in the Department of Mathematics and Statistics at Bowling Green State University in Bowling Green, Ohio, where she teaches statistics, actuarial science, computational statistics, statistical programming and data science. Prior to joining the faculty at BGSU in 2006, she was Assistant Professor in the Department of Mathematics at Ohio University in Athens, Ohio. Her main research area is energy statistics and distance correlation. She is the software developer and maintainer of the energy package for R. She also enjoys writing books including a forthcoming joint research monograph on energy statistics. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Lingua: Inglese
Editore: Chapman And Hall/CRC Mär 2019, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Praise for the First Edition:'. . . the book serves as an excellent tutorial on the R language, providing examples that illustrate programming concepts in the context of practical computational problems. The book will be of great interest… for all specialists working on computational statistics and Monte Carlo methods for modeling and simulation.' - Tzvetan Semerdjiev, Zentralblatt MathComputational statistics and statistical computing are two areas within statistics that may be broadly described as computational, graphical, and numerical approaches to solving statistical problems. Like its bestselling predecessor, Statistical Computing with R, Second Edition covers the traditional core material of these areas with an emphasis on using the R language via an examples-based approach. The new edition is up-to-date with the many advances that have been made in recent years. FeaturesProvides an overview of computational statistics and an introduction to the R computing environment.Focuses on implementation rather than theory.Explores key topics in statistical computing including Monte Carlo methods in inference, bootstrap and jackknife, permutation tests, Markov chain Monte Carlo (MCMC) methods, and density estimation.Includes new sections, exercises and applications as well as new chapters on resampling methods and programming topics.Includes coverage of recent advances including R Studio, the tidyverse, knitr and ggplot2Accompanied by online supplements available on GitHub including R code for all the exercises as well as tutorials and extended examples on selected topics.Suitable for an introductory course in computational statistics or for self-study, Statistical Computing with R, Second Edition provides a balanced, accessible introduction to computational statistics and statistical computing.About the AuthorMaria Rizzo is Professor in the Department of Mathematics and Statistics at Bowling Green State University in Bowling Green, Ohio, where she teaches statistics, actuarial science, computational statistics, statistical programming and data science. Prior to joining the faculty at BGSU in 2006, she was Assistant Professor in the Department of Mathematics at Ohio University in Athens, Ohio. Her main research area is energy statistics and distance correlation. She is the software developer and maintainer of the energy package for R. She also enjoys writing books including a forthcoming joint research monograph on energy statistics. 492 pp. Englisch.
Lingua: Inglese
Editore: Chapman And Hall/CRC, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Praise for the First Edition:'. . . the book serves as an excellent tutorial on the R language, providing examples that illustrate programming concepts in the context of practical computational problems. The book will be of great interest for…all specialists working on computational statistics and Monte Carlo methods for modeling and simulation.' - Tzvetan Semerdjiev, Zentralblatt MathComputational statistics and statistical computing are two areas within statistics that may be broadly described as computational, graphical, and numerical approaches to solving statistical problems. Like its bestselling predecessor, Statistical Computing with R, Second Edition covers the traditional core material of these areas with an emphasis on using the R language via an examples-based approach. The new edition is up-to-date with the many advances that have been made in recent years. FeaturesProvides an overview of computational statistics and an introduction to the R computing environment.Focuses on implementation rather than theory.Explores key topics in statistical computing including Monte Carlo methods in inference, bootstrap and jackknife, permutation tests, Markov chain Monte Carlo (MCMC) methods, and density estimation.Includes new sections, exercises and applications as well as new chapters on resampling methods and programming topics.Includes coverage of recent advances including R Studio, the tidyverse, knitr and ggplot2Accompanied by online supplements available on GitHub including R code for all the exercises as well as tutorials and extended examples on selected topics.Suitable for an introductory course in computational statistics or for self-study, Statistical Computing with R, Second Edition provides a balanced, accessible introduction to computational statistics and statistical computing.About the AuthorMaria Rizzo is Professor in the Department of Mathematics and Statistics at Bowling Green State University in Bowling Green, Ohio, where she teaches statistics, actuarial science, computational statistics, statistical programming and data science. Prior to joining the faculty at BGSU in 2006, she was Assistant Professor in the Department of Mathematics at Ohio University in Athens, Ohio. Her main research area is energy statistics and distance correlation. She is the software developer and maintainer of the energy package for R. She also enjoys writing books including a forthcoming joint research monograph on energy statistics.
Altre immaginiLingua: Inglese
Editore: Chapman and Hall/CRC, 2019
Serie: Chapman & Hall/CRC The R, Libro 46 di 73. Libro 46 di 73 - Chapman & Hall/CRC The R
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EUR 177,30
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Buch. Condizione: Neu. Statistical Computing with R, Second Edition | Maria L. Rizzo | Buch | Einband - fest (Hardcover) | Englisch | 2019 | Chapman and Hall/CRC | EAN 9781466553323 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
