Statistical computing second edition par rizzo maria (22 résultats)
Langue : anglais
Edité par Routledge, 2019
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EUR 26,92
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Langue : anglais
Edité par Routledge, 2019
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hardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.
Langue : anglais
Edité par Routledge, 2019
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Vendeur : Textbooks_Source, Columbia, MO, Etats-UnisTextbooks_Source
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hardcover. Etat : Good. 2nd Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Langue : anglais
Edité par Routledge, 2019
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EUR 26,66
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hardcover. Etat : Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.
Langue : anglais
Edité par Routledge, 2019
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EUR 74,22
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Etat : 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.
Langue : anglais
Edité par Routledge, 2019
- Couverture rigide
Vendeur : Romtrade Corp., STERLING HEIGHTS, MI, Etats-UnisRomtrade Corp.
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EUR 77,69
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Etat : 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.
Langue : anglais
Edité par Routledge, 2019
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Vendeur : SMASS Sellers, IRVING, TX, Etats-UnisSMASS Sellers
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EUR 78,27
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Etat : New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
Langue : anglais
Edité par Routledge, 2019
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Vendeur : Basi6 International, Irving, TX, Etats-UnisBasi6 International
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EUR 78,58
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Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Langue : anglais
Edité par Routledge, 2019
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Vendeur : Textbooks_Source, Columbia, MO, Etats-UnisTextbooks_Source
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EUR 76,15
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hardcover. Etat : New. 2nd Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Langue : anglais
Edité par Routledge, 2019
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EUR 80,84
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Langue : anglais
Edité par T&F,Crc Press,, 2019
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Vendeur : Books in my Basket, New Delhi, IndeBooks in my Basket
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EUR 105,41
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Ajouter au panierHardcover. Etat : New. ISBN:9781466553323.
Langue : anglais
Edité par Taylor & Francis Inc, 2019
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Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-UniTHE SAINT BOOKSTORE
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EUR 100,22
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Hardback. Etat : New. New copy - Usually dispatched within 4 working days.
Langue : anglais
Edité par Routledge, 2019
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-UniRia Christie Collections
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EUR 112,32
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Etat : New. In.
Langue : anglais
Edité par Taylor & Francis Inc, Bosa Roca, 2019
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Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-UnisGrand Eagle Retail
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EUR 129,12
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Hardcover. Etat : 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 statistics a…nd 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.
Langue : anglais
Edité par Routledge, 2019
- Couverture rigide
Vendeur : California Books, Miami, FL, Etats-UnisCalifornia Books
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EUR 135,75
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Etat : New.
Langue : anglais
Edité par Chapman and Hall/CRC, 2019
- Couverture rigide
Vendeur : Mispah books, Redhill, SURRE, Royaume-UniMispah books
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EUR 110,61
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Hardcover. Etat : New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Langue : anglais
Edité par Taylor & Francis Inc, 2019
- Couverture rigide
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandeKennys Bookshop and Art Galleries Ltd.
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EUR 142,43
EUR 9,50 expéditionExpédition depuis Irlande vers Etats-UnisQuantité disponible : 16 disponible(s)
Etat : New. 2019. 2nd Edition. Hardcover. . . . . .
Langue : anglais
Edité par Taylor & Francis Inc, 2019
- Couverture rigide
Vendeur : Kennys Bookstore, Olney, MD, Etats-UnisKennys Bookstore
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EUR 177,36
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Etat : New. 2019. 2nd Edition. Hardcover. . . . . . Books ship from the US and Ireland.
Langue : anglais
Edité par Taylor & Francis Inc, Bosa Roca, 2019
- Couverture rigide
Vendeur : AussieBookSeller, Truganina, VIC, AustralieAussieBookSeller
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EUR 212,30
EUR 31,66 expéditionExpédition depuis Australie vers Etats-UnisQuantité disponible : 1 disponible(s)
Hardcover. Etat : 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 statistics a…nd 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.
Langue : anglais
Edité par Chapman And Hall/CRC Mär 2019, 2019
- Couverture rigide
- impression à la demande
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AllemagneBuchWeltWeit Ludwig Meier e.K.
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EUR 95,80
EUR 23,00 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 2 disponible(s)
Buch. Etat : 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.
Langue : anglais
Edité par CRC Press, 2019
- Couverture rigide
- impression à la demande
Vendeur : moluna, Greven, Allemagnemoluna
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EUR 84,10
EUR 48,99 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 .
Langue : anglais
Edité par Chapman And Hall/CRC, 2019
- Couverture rigide
- impression à la demande
Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
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EUR 111,64
EUR 30,50 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 1 disponible(s)
Buch. Etat : 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 s…pecialists 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.
