R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are pre… Meer...
R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are learning, teaching, or using statistics. Specifically, this book is written for users who have covered at least the equivalent of (or are currently studying) undergraduate level calculus-based courses in statistics. These users are learning or applying exploratory and inferential methods for analyzing data and this book is intended to be a useful resource for learning how to implement these procedures in R. eBook Jim Albert#Maria Rizzo PDF, Springer, 28.01.2012, Springer, 2012<
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R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are pre… Meer...
R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are learning, teaching, or using statistics. Specifically, this book is written for users who have covered at least the equivalent of (or are currently studying) undergraduate level calculus-based courses in statistics. These users are learning or applying exploratory and inferential methods for analyzing data and this book is intended to be a useful resource for learning how to implement these procedures in R. Books > Statistics eBook, Springer Shop<
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R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are pre… Meer...
R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are learning, teaching, or using statistics. Specifically, this book is written for users who have covered at least the equivalent of (or are currently studying) undergraduate level calculus-based courses in statistics. These users are learning or applying exploratory and inferential methods for analyzing data and this book is intended to be a useful resource for learning how to implement these procedures in R. eBook Jim Albert#Maria Rizzo 28.01.2012, Springer, Springer<
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R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are pre… Meer...
R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are learning, teaching, or using statistics. Specifically, this book is written for users who have covered at least the equivalent of (or are currently studying) undergraduate level calculus-based courses in statistics. These users are learning or applying exploratory and inferential methods for analyzing data and this book is intended to be a useful resource for learning how to implement these procedures in R., Springer<
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R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are pre… Meer...
R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are learning, teaching, or using statistics. Specifically, this book is written for users who have covered at least the equivalent of (or are currently studying) undergraduate level calculus-based courses in statistics. These users are learning or applying exploratory and inferential methods for analyzing data and this book is intended to be a useful resource for learning how to implement these procedures in R.<
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R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are pre… Meer...
R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are learning, teaching, or using statistics. Specifically, this book is written for users who have covered at least the equivalent of (or are currently studying) undergraduate level calculus-based courses in statistics. These users are learning or applying exploratory and inferential methods for analyzing data and this book is intended to be a useful resource for learning how to implement these procedures in R. eBook Jim Albert#Maria Rizzo PDF, Springer, 28.01.2012, Springer, 2012<
Nr. 31192284. Verzendingskosten:, Sofort per Download lieferbar, DE. (EUR 0.00)
R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are pre… Meer...
R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are learning, teaching, or using statistics. Specifically, this book is written for users who have covered at least the equivalent of (or are currently studying) undergraduate level calculus-based courses in statistics. These users are learning or applying exploratory and inferential methods for analyzing data and this book is intended to be a useful resource for learning how to implement these procedures in R. Books > Statistics eBook, Springer Shop<
new in stock. Verzendingskosten:zzgl. Versandkosten., exclusief verzendingskosten
R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are pre… Meer...
R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are learning, teaching, or using statistics. Specifically, this book is written for users who have covered at least the equivalent of (or are currently studying) undergraduate level calculus-based courses in statistics. These users are learning or applying exploratory and inferential methods for analyzing data and this book is intended to be a useful resource for learning how to implement these procedures in R. eBook Jim Albert#Maria Rizzo 28.01.2012, Springer, Springer<
Nr. 31192284. Verzendingskosten:, Sofort per Download lieferbar, zzgl. Versandkosten. (EUR 16.84)
R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are pre… Meer...
R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are learning, teaching, or using statistics. Specifically, this book is written for users who have covered at least the equivalent of (or are currently studying) undergraduate level calculus-based courses in statistics. These users are learning or applying exploratory and inferential methods for analyzing data and this book is intended to be a useful resource for learning how to implement these procedures in R., Springer<
Nr. 978-1-4614-1365-3. Verzendingskosten:Worldwide free shipping, , DE. (EUR 0.00)
R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are pre… Meer...
R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are learning, teaching, or using statistics. Specifically, this book is written for users who have covered at least the equivalent of (or are currently studying) undergraduate level calculus-based courses in statistics. These users are learning or applying exploratory and inferential methods for analyzing data and this book is intended to be a useful resource for learning how to implement these procedures in R.<
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Gedetalleerde informatie over het boek. - R by Example
EAN (ISBN-13): 9781461413653 ISBN (ISBN-10): 1461413656 Verschijningsjaar: 2012 Uitgever: Springer New York 359 Bladzijden Taal: eng/Englisch
Boek bevindt zich in het datenbestand sinds 2012-07-13T11:06:54+02:00 (Amsterdam) Detailpagina laatst gewijzigd op 2024-01-22T21:31:01+01:00 (Amsterdam) ISBN/EAN: 1461413656
ISBN - alternatieve schrijfwijzen: 1-4614-1365-6, 978-1-4614-1365-3 alternatieve schrijfwijzen en verwante zoekwoorden: Auteur van het boek: rizzo, rizz, riz
Gegevens van de uitgever
Auteur: Jim Albert; Maria Rizzo Titel: Use R! R by Example Uitgeverij: Springer; Springer US 359 Bladzijden Verschijningsjaar: 2012-01-28 New York; NY; US Gedrukt / Gemaakt in Taal: Engels 85,59 € (DE) 88,00 € (AT) 94,50 CHF (CH) Available XIII, 359 p. 125 illus., 21 illus. in color.
EA; E107; eBook; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; R applications; A; Statistical Theory and Methods; Statistical Theory and Methods; Mathematics and Statistics; BC
Introduction.- Quantitative Data.- Categorical Data.- Presentation Graphics.- Exploratotry Data Analysis.- Basic Inference Models.- Regression.- Analysis of Variance I.- Analysis of Variance II.- Randomiczation tests.- Simulation Experiments.- Bayesian Modeling.- Monte Carlo Methods.
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