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ISBN 10 : 1009282271 ISBN 13 : 9781009282277
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Edité par Cambridge University Press, 2024
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ISBN 10 : 1009282271 ISBN 13 : 9781009282277
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Edité par Cambridge University Press, 2024
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Ajouter au panierHardback. Etat : New. New copy - Usually dispatched within 4 working days. 1160.
Edité par Cambridge University Press, 2024
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Edité par Cambridge University Press, 2024
ISBN 10 : 1009282271 ISBN 13 : 9781009282277
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Edité par Cambridge University Press, 2024
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Edité par Cambridge University Press Mai 2024, 2024
ISBN 10 : 1009282271 ISBN 13 : 9781009282277
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Ajouter au panierBuch. Etat : Neu. Neuware - Using diverse real-world examples, this text examines what models used for data analysis mean in a specific research context. What assumptions underlie analyses, and how can you check them Building on the successful 'Data Analysis and Graphics Using R,' 3rd edition (Cambridge, 2010), it expands upon topics including cluster analysis, exponential time series, matching, seasonality, and resampling approaches. An extended look at p-values leads to an exploration of replicability issues and of contexts where numerous p-values exist, including gene expression. Developing practical intuition, this book assists scientists in the analysis of their own data, and familiarizes students in statistical theory with practical data analysis. The worked examples and accompanying commentary teach readers to recognize when a method works and, more importantly, when it doesn't. Each chapter contains copious exercises. Selected solutions, notes, slides, and R code are available online, with extensive references pointing to detailed guides to R.
Edité par Cambridge University Press, Cambridge, 2024
ISBN 10 : 1009282271 ISBN 13 : 9781009282277
Langue: anglais
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Ajouter au panierHardcover. Etat : new. Hardcover. Using diverse real-world examples, this text examines what models used for data analysis mean in a specific research context. What assumptions underlie analyses, and how can you check them? Building on the successful 'Data Analysis and Graphics Using R,' 3rd edition (Cambridge, 2010), it expands upon topics including cluster analysis, exponential time series, matching, seasonality, and resampling approaches. An extended look at p-values leads to an exploration of replicability issues and of contexts where numerous p-values exist, including gene expression. Developing practical intuition, this book assists scientists in the analysis of their own data, and familiarizes students in statistical theory with practical data analysis. The worked examples and accompanying commentary teach readers to recognize when a method works and, more importantly, when it doesn't. Each chapter contains copious exercises. Selected solutions, notes, slides, and R code are available online, with extensive references pointing to detailed guides to R. Using diverse real-world examples, this book explores the use of R for data analysis, with extensive use of graphical presentation. It assists scientists in the analysis of their own data, demonstrating how to check the underlying assumptions, and gives students in statistical theory exposure to practical data analysis. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Edité par Cambridge University Press, 2024
ISBN 10 : 1009282271 ISBN 13 : 9781009282277
Langue: anglais
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Ajouter au panierEtat : New. 2024. hardcover. . . . . . Books ship from the US and Ireland.
Edité par Cambridge University Press, GB, 2024
ISBN 10 : 1009282271 ISBN 13 : 9781009282277
Langue: anglais
Vendeur : Rarewaves USA, OSWEGO, IL, Etats-Unis
EUR 126,18
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Ajouter au panierHardback. Etat : New. Using diverse real-world examples, this text examines what models used for data analysis mean in a specific research context. What assumptions underlie analyses, and how can you check them? Building on the successful 'Data Analysis and Graphics Using R,' 3rd edition (Cambridge, 2010), it expands upon topics including cluster analysis, exponential time series, matching, seasonality, and resampling approaches. An extended look at p-values leads to an exploration of replicability issues and of contexts where numerous p-values exist, including gene expression. Developing practical intuition, this book assists scientists in the analysis of their own data, and familiarizes students in statistical theory with practical data analysis. The worked examples and accompanying commentary teach readers to recognize when a method works and, more importantly, when it doesn't. Each chapter contains copious exercises. Selected solutions, notes, slides, and R code are available online, with extensive references pointing to detailed guides to R.
Edité par Cambridge University Press, GB, 2024
ISBN 10 : 1009282271 ISBN 13 : 9781009282277
Langue: anglais
Vendeur : Rarewaves USA United, OSWEGO, IL, Etats-Unis
EUR 128,50
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Ajouter au panierHardback. Etat : New. Using diverse real-world examples, this text examines what models used for data analysis mean in a specific research context. What assumptions underlie analyses, and how can you check them? Building on the successful 'Data Analysis and Graphics Using R,' 3rd edition (Cambridge, 2010), it expands upon topics including cluster analysis, exponential time series, matching, seasonality, and resampling approaches. An extended look at p-values leads to an exploration of replicability issues and of contexts where numerous p-values exist, including gene expression. Developing practical intuition, this book assists scientists in the analysis of their own data, and familiarizes students in statistical theory with practical data analysis. The worked examples and accompanying commentary teach readers to recognize when a method works and, more importantly, when it doesn't. Each chapter contains copious exercises. Selected solutions, notes, slides, and R code are available online, with extensive references pointing to detailed guides to R.
Edité par Cambridge University Press, 2024
ISBN 10 : 1009282271 ISBN 13 : 9781009282277
Langue: anglais
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
EUR 92,65
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Edité par Cambridge University Press, GB, 2024
ISBN 10 : 1009282271 ISBN 13 : 9781009282277
Langue: anglais
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EUR 133,69
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Ajouter au panierHardback. Etat : New. Using diverse real-world examples, this text examines what models used for data analysis mean in a specific research context. What assumptions underlie analyses, and how can you check them? Building on the successful 'Data Analysis and Graphics Using R,' 3rd edition (Cambridge, 2010), it expands upon topics including cluster analysis, exponential time series, matching, seasonality, and resampling approaches. An extended look at p-values leads to an exploration of replicability issues and of contexts where numerous p-values exist, including gene expression. Developing practical intuition, this book assists scientists in the analysis of their own data, and familiarizes students in statistical theory with practical data analysis. The worked examples and accompanying commentary teach readers to recognize when a method works and, more importantly, when it doesn't. Each chapter contains copious exercises. Selected solutions, notes, slides, and R code are available online, with extensive references pointing to detailed guides to R.
Edité par Cambridge University Press, 2024
ISBN 10 : 1009282271 ISBN 13 : 9781009282277
Langue: anglais
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 126,76
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Ajouter au panierHardcover. Etat : Brand New. 555 pages. 6.90x1.20x9.90 inches. In Stock.
Edité par Cambridge University Press, GB, 2024
ISBN 10 : 1009282271 ISBN 13 : 9781009282277
Langue: anglais
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Ajouter au panierHardback. Etat : New. Using diverse real-world examples, this text examines what models used for data analysis mean in a specific research context. What assumptions underlie analyses, and how can you check them? Building on the successful 'Data Analysis and Graphics Using R,' 3rd edition (Cambridge, 2010), it expands upon topics including cluster analysis, exponential time series, matching, seasonality, and resampling approaches. An extended look at p-values leads to an exploration of replicability issues and of contexts where numerous p-values exist, including gene expression. Developing practical intuition, this book assists scientists in the analysis of their own data, and familiarizes students in statistical theory with practical data analysis. The worked examples and accompanying commentary teach readers to recognize when a method works and, more importantly, when it doesn't. Each chapter contains copious exercises. Selected solutions, notes, slides, and R code are available online, with extensive references pointing to detailed guides to R.
Edité par Cambridge University Press, Cambridge, 2024
ISBN 10 : 1009282271 ISBN 13 : 9781009282277
Langue: anglais
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EUR 97,95
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Ajouter au panierHardcover. Etat : new. Hardcover. Using diverse real-world examples, this text examines what models used for data analysis mean in a specific research context. What assumptions underlie analyses, and how can you check them? Building on the successful 'Data Analysis and Graphics Using R,' 3rd edition (Cambridge, 2010), it expands upon topics including cluster analysis, exponential time series, matching, seasonality, and resampling approaches. An extended look at p-values leads to an exploration of replicability issues and of contexts where numerous p-values exist, including gene expression. Developing practical intuition, this book assists scientists in the analysis of their own data, and familiarizes students in statistical theory with practical data analysis. The worked examples and accompanying commentary teach readers to recognize when a method works and, more importantly, when it doesn't. Each chapter contains copious exercises. Selected solutions, notes, slides, and R code are available online, with extensive references pointing to detailed guides to R. Using diverse real-world examples, this book explores the use of R for data analysis, with extensive use of graphical presentation. It assists scientists in the analysis of their own data, demonstrating how to check the underlying assumptions, and gives students in statistical theory exposure to practical data analysis. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Edité par Cambridge University Press, 2024
ISBN 10 : 1009282271 ISBN 13 : 9781009282277
Langue: anglais
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EUR 74,65
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Edité par Cambridge University Press, 2024
ISBN 10 : 1009282271 ISBN 13 : 9781009282277
Langue: anglais
Vendeur : Russell Books, Victoria, BC, Canada
Edition originale
EUR 101,14
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Ajouter au panierhardcover. Etat : New. 1st Edition. Special order direct from the distributor.
Edité par Cambridge University Press, Cambridge, 2024
ISBN 10 : 1009282271 ISBN 13 : 9781009282277
Langue: anglais
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EUR 156,58
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Ajouter au panierHardcover. Etat : new. Hardcover. Using diverse real-world examples, this text examines what models used for data analysis mean in a specific research context. What assumptions underlie analyses, and how can you check them? Building on the successful 'Data Analysis and Graphics Using R,' 3rd edition (Cambridge, 2010), it expands upon topics including cluster analysis, exponential time series, matching, seasonality, and resampling approaches. An extended look at p-values leads to an exploration of replicability issues and of contexts where numerous p-values exist, including gene expression. Developing practical intuition, this book assists scientists in the analysis of their own data, and familiarizes students in statistical theory with practical data analysis. The worked examples and accompanying commentary teach readers to recognize when a method works and, more importantly, when it doesn't. Each chapter contains copious exercises. Selected solutions, notes, slides, and R code are available online, with extensive references pointing to detailed guides to R. Using diverse real-world examples, this book explores the use of R for data analysis, with extensive use of graphical presentation. It assists scientists in the analysis of their own data, demonstrating how to check the underlying assumptions, and gives students in statistical theory exposure to practical data analysis. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.