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  • 1
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Springer
    UID:
    b3kat_BV047093747
    Format: 1 Online-Ressource (XIX, 264 p. 136 illus., 27 illus. in color)
    Edition: 1st ed. 2020
    ISBN: 9783030550202
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-55019-6
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-55021-9
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-55022-6
    Language: English
    Subjects: Biology , Mathematics , General works
    RVK:
    RVK:
    RVK:
    Keywords: Datenanalyse ; Umweltwissenschaften
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    UID:
    almahu_9948621870202882
    Format: XIX, 264 p. 136 illus., 27 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030550202
    Content: Environmental Data Analysis is an introductory statistics textbook for environmental science. It covers descriptive, inferential and predictive statistics, centred on the Generalized Linear Model. The key idea behind this book is to approach statistical analyses from the perspective of maximum likelihood, essentially treating most analyses as (multiple) regression problems. The reader will be introduced to statistical distributions early on, and will learn to deploy models suitable for the data at hand, which in environmental science are often not normally distributed. To make the initially steep learning curve more manageable, each statistical chapter is followed by a walk-through in a corresponding R-based how-to chapter, which reviews the theory and applies it to environmental data. In this way, a coherent and expandable foundation in parametric statistics is laid, which can be expanded in advanced courses.The content has been "field-tested" in several years of courses on statistics for Environmental Science, Geography and Forestry taught at the University of Freiburg. .
    Note: Preface -- The technical side: selecting a statistical software -- 1 Sample statistics -- 2 Sample statistics in R -- 3 Distributions, parameters and estimators -- 4 Distributions, parameters and estimators in R -- 5 Correlation and association -- 6 Correlation and association in R -- 7 Regression - Part I -- 8 Regression in R - Part I -- 9 Regression - Part II -- 10 Regression in R - Part II -- 11 The linear model: t-test and ANOVA -- 12 The linear model: t-test and ANOVA in R -- 13 Hypotheses and tests -- 14 Experimental Design -- 15 Multiple Regression -- 16 Multiple Regression in R -- 17 Outlook -- Index.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783030550196
    Additional Edition: Printed edition: ISBN 9783030550219
    Additional Edition: Printed edition: ISBN 9783030550226
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    UID:
    gbv_1743798431
    Format: 1 Online-Ressource(XIX, 264 p. 136 illus., 27 illus. in color.)
    Edition: 1st ed. 2020.
    ISBN: 9783030550202
    Series Statement: Springer eBook Collection
    Content: Preface -- The technical side: selecting a statistical software -- 1 Sample statistics -- 2 Sample statistics in R -- 3 Distributions, parameters and estimators -- 4 Distributions, parameters and estimators in R -- 5 Correlation and association -- 6 Correlation and association in R -- 7 Regression - Part I -- 8 Regression in R - Part I -- 9 Regression - Part II -- 10 Regression in R - Part II -- 11 The linear model: t-test and ANOVA -- 12 The linear model: t-test and ANOVA in R -- 13 Hypotheses and tests -- 14 Experimental Design -- 15 Multiple Regression -- 16 Multiple Regression in R -- 17 Outlook -- Index.
    Content: Environmental Data Analysis is an introductory statistics textbook for environmental science. It covers descriptive, inferential and predictive statistics, centred on the Generalized Linear Model. The key idea behind this book is to approach statistical analyses from the perspective of maximum likelihood, essentially treating most analyses as (multiple) regression problems. The reader will be introduced to statistical distributions early on, and will learn to deploy models suitable for the data at hand, which in environmental science are often not normally distributed. To make the initially steep learning curve more manageable, each statistical chapter is followed by a walk-through in a corresponding R-based how-to chapter, which reviews the theory and applies it to environmental data. In this way, a coherent and expandable foundation in parametric statistics is laid, which can be expanded in advanced courses.The content has been “field-tested” in several years of courses on statistics for Environmental Science, Geography and Forestry taught at the University of Freiburg. .
    Additional Edition: ISBN 9783030550196
    Additional Edition: ISBN 9783030550219
    Additional Edition: ISBN 9783030550226
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030550219
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030550226
    Additional Edition: Erscheint auch als Druck-Ausgabe Dormann, Carsten F. Environmental data analysis Cham, Switzerland : Springer, 2020 ISBN 9783030550196
    Additional Edition: ISBN 9783030550226
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Datenanalyse ; Umweltwissenschaften
    URL: Cover
    Author information: Dormann, Carsten F.
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  • 4
    Book
    Book
    Cham, Switzerland :Springer International Publishing,
    UID:
    almahu_BV047004256
    Format: xix, 264 Seiten : , Illustrationen, Diagramme.
    ISBN: 978-3-030-55019-6
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-3-030-55020-2
    Language: English
    Subjects: Biology , Mathematics , General works
    RVK:
    RVK:
    RVK:
    Keywords: Datenanalyse ; Umweltwissenschaften
    Author information: Dormann, Carsten F.
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    Online Resource
    Online Resource
    Cham :Springer International Publishing, | Cham :Springer.
    UID:
    edocfu_BV047093747
    Format: 1 Online-Ressource (XIX, 264 p. 136 illus., 27 illus. in color).
    Edition: 1st ed. 2020
    ISBN: 978-3-030-55020-2
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-55019-6
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-55021-9
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-55022-6
    Language: English
    Subjects: Biology , Mathematics , General works
    RVK:
    RVK:
    RVK:
    Keywords: Datenanalyse ; Umweltwissenschaften
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    Online Resource
    Online Resource
    Cham :Springer International Publishing, | Cham :Springer.
    UID:
    edoccha_BV047093747
    Format: 1 Online-Ressource (XIX, 264 p. 136 illus., 27 illus. in color).
    Edition: 1st ed. 2020
    ISBN: 978-3-030-55020-2
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-55019-6
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-55021-9
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-55022-6
    Language: English
    Subjects: Biology , Mathematics , General works
    RVK:
    RVK:
    RVK:
    Keywords: Datenanalyse ; Umweltwissenschaften
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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