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New Statistics with R An Introduction for Biologists

Hector Andy
Innbundet / 2021 / Engelsk

Produktdetaljer

ISBN
9780198798170
Publisert
2021
Utgave
2. utgave
Utgiver
Vendor
Oxford University Press
Vekt
696 gr
Høyde
247 mm
Bredde
175 mm
Dybde
18 mm
Aldersnivå
U, 05
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
288

Forfatter
Hector Andy

Om bidragsyterne

Andy Hector is Professor of Ecology at the Department of Plant Sciences, Linacre College, University of Oxford, UK. He is Co-Director of the Plants for the Twenty-First Century Institute. He has convened and taught statistics on the Quantitative Methods for Biologists course for undergraduates. He is a community ecologist interested in biodiversity loss and its consequences for ecosystem functioning, stability and services and scientific PI of the Sabah Biodiversity Experiment. He has contributed to several publications on ecological analysis.

New Statistics with R An Introduction for Biologists

Hector Andy
Innbundet / 2021 / Engelsk
Hector Andy
Innbundet / 2021 / Engelsk
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1.206,-
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Review from previous edition The book is suitable for undergraduate and graduate students, researchers and practitioners in biological sciences. I found it refreshing and worthy of wide use.

Basil Jarvis, The Biologist

[T]his book is of great interest ... it is important to evaluate its value as a teaching tool for R for biologists. ... [T]he book's strength is that it takes an applied scientist through the necessary basic statistics, and shows step by step how to work with real data. The New Statistics with R is, furthermore, a great textbook for computer exercise sessions in any introductory statistical class (especially for the life sciences). With its help, one should be able to design a very attractive course for both applied and more theoretical students.

Krzysztof Bartoszek, Systematic Biology

... overall the book gives useful, ecumenical, and reliable statistical advice. I would recommend it for courses that are trying to equip students who already know elementary statistics with the basic tools they need to understand and perform analyses of real, messy data.

Ben Bolker, Quarterly Review of Biology

Statistical methods are a key tool for all scientists working with data, but learning the basics continues to challenge successive generations of students. This accessible textbook provides an up-to-date introduction to the classical techniques and modern extensions of linear model analysis-one of the most useful approaches for investigating scientific data in the life and environmental sciences. While some of the foundational analyses (e.g. t tests, regression, ANOVA) are as useful now as ever, best practice moves on and there are many new general developments that offer great potential. The book emphasizes an estimation-based approach that takes account of recent criticisms of over-use of probability values and introduces the alternative approach that uses information criteria. This new edition includes the latest advances in R and related software and has been thoroughly “road-tested” over the last decade to create a proven textbook that teaches linear and generalized linear model analysis to students of ecology, evolution, and environmental studies (including worked analyses of data sets relevant to all three disciplines). While R is used throughout, the focus remains firmly on statistical analysis. The New Statistics with R is suitable for senior undergraduate and graduate students, professional researchers, and practitioners in the fields of ecology, evolution and environmental studies.
Les mer
A proven textbook based on materials developed over the last decade to teach linear, generalized, and mixed model analysis to students of ecology, evolution, and environmental studies. While R is used throughout, the focus is firmly on statistical analysis.
Les mer
1: Introduction 2: Motivation 3: Description 4: Reproducible Research 5: Estimation 6: Linear Models 7: Regression 8: Prediction 9: Testing 10: Intervals 11: Analysis of Variance 12: Factorial Designs 13: Analysis of Covariance 14: Linear Model Complexities 15: Generalized Linear Models 16: GLMs for Count Data 17: Binomial GLMs 18: GLMs for Binary Data 19: Conclusions 20: A Very Short Introduction to R
Les mer
Up-to-date introduction to the classical techniques and modern extensions of linear model analysis Emphasizes an estimation-based approach that takes account of recent criticisms of over-use of probability values Firm focus on statistical analysis whilst using R throughout R scripts and data sets featured in the book available as supporting material
Les mer
Andy Hector is Professor of Ecology at the Department of Plant Sciences, Linacre College, University of Oxford, UK. He is Co-Director of the Plants for the Twenty-First Century Institute. He has convened and taught statistics on the Quantitative Methods for Biologists course for undergraduates. He is a community ecologist interested in biodiversity loss and its consequences for ecosystem functioning, stability and services and scientific PI of the Sabah Biodiversity Experiment. He has contributed to several publications on ecological analysis.
Les mer
Up-to-date introduction to the classical techniques and modern extensions of linear model analysis Emphasizes an estimation-based approach that takes account of recent criticisms of over-use of probability values Firm focus on statistical analysis whilst using R throughout R scripts and data sets featured in the book available as supporting material
Les mer

Relaterte produkter

Review from previous edition The book is suitable for undergraduate and graduate students, researchers and practitioners in biological sciences. I found it refreshing and worthy of wide use.

Basil Jarvis, The Biologist

[T]his book is of great interest ... it is important to evaluate its value as a teaching tool for R for biologists. ... [T]he book's strength is that it takes an applied scientist through the necessary basic statistics, and shows step by step how to work with real data. The New Statistics with R is, furthermore, a great textbook for computer exercise sessions in any introductory statistical class (especially for the life sciences). With its help, one should be able to design a very attractive course for both applied and more theoretical students.

Krzysztof Bartoszek, Systematic Biology

... overall the book gives useful, ecumenical, and reliable statistical advice. I would recommend it for courses that are trying to equip students who already know elementary statistics with the basic tools they need to understand and perform analyses of real, messy data.

Ben Bolker, Quarterly Review of Biology

Statistical methods are a key tool for all scientists working with data, but learning the basics continues to challenge successive generations of students. This accessible textbook provides an up-to-date introduction to the classical techniques and modern extensions of linear model analysis-one of the most useful approaches for investigating scientific data in the life and environmental sciences. While some of the foundational analyses (e.g. t tests, regression, ANOVA) are as useful now as ever, best practice moves on and there are many new general developments that offer great potential. The book emphasizes an estimation-based approach that takes account of recent criticisms of over-use of probability values and introduces the alternative approach that uses information criteria. This new edition includes the latest advances in R and related software and has been thoroughly “road-tested” over the last decade to create a proven textbook that teaches linear and generalized linear model analysis to students of ecology, evolution, and environmental studies (including worked analyses of data sets relevant to all three disciplines). While R is used throughout, the focus remains firmly on statistical analysis. The New Statistics with R is suitable for senior undergraduate and graduate students, professional researchers, and practitioners in the fields of ecology, evolution and environmental studies.
Les mer
A proven textbook based on materials developed over the last decade to teach linear, generalized, and mixed model analysis to students of ecology, evolution, and environmental studies. While R is used throughout, the focus is firmly on statistical analysis.
Les mer
1: Introduction 2: Motivation 3: Description 4: Reproducible Research 5: Estimation 6: Linear Models 7: Regression 8: Prediction 9: Testing 10: Intervals 11: Analysis of Variance 12: Factorial Designs 13: Analysis of Covariance 14: Linear Model Complexities 15: Generalized Linear Models 16: GLMs for Count Data 17: Binomial GLMs 18: GLMs for Binary Data 19: Conclusions 20: A Very Short Introduction to R
Les mer
Up-to-date introduction to the classical techniques and modern extensions of linear model analysis Emphasizes an estimation-based approach that takes account of recent criticisms of over-use of probability values Firm focus on statistical analysis whilst using R throughout R scripts and data sets featured in the book available as supporting material
Les mer
Andy Hector is Professor of Ecology at the Department of Plant Sciences, Linacre College, University of Oxford, UK. He is Co-Director of the Plants for the Twenty-First Century Institute. He has convened and taught statistics on the Quantitative Methods for Biologists course for undergraduates. He is a community ecologist interested in biodiversity loss and its consequences for ecosystem functioning, stability and services and scientific PI of the Sabah Biodiversity Experiment. He has contributed to several publications on ecological analysis.
Les mer
Up-to-date introduction to the classical techniques and modern extensions of linear model analysis Emphasizes an estimation-based approach that takes account of recent criticisms of over-use of probability values Firm focus on statistical analysis whilst using R throughout R scripts and data sets featured in the book available as supporting material
Les mer

Produktdetaljer

ISBN
9780198798170
Publisert
2021
Utgave
2. utgave
Utgiver
Vendor
Oxford University Press
Vekt
696 gr
Høyde
247 mm
Bredde
175 mm
Dybde
18 mm
Aldersnivå
U, 05
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
288

Forfatter
Hector Andy

Om bidragsyterne

Andy Hector is Professor of Ecology at the Department of Plant Sciences, Linacre College, University of Oxford, UK. He is Co-Director of the Plants for the Twenty-First Century Institute. He has convened and taught statistics on the Quantitative Methods for Biologists course for undergraduates. He is a community ecologist interested in biodiversity loss and its consequences for ecosystem functioning, stability and services and scientific PI of the Sabah Biodiversity Experiment. He has contributed to several publications on ecological analysis.

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