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Statistical Modeling With R
a dual frequentist and Bayesian approach for life scientists
Taschenbuch von Pablo Inchausti
Sprache: Englisch

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Beschreibung
An accessible textbook that explains, discusses, and applies both the frequentist and Bayesian theoretical frameworks to fit the different types of statistical models that allow an analysis of the types of data most commonly gathered by life scientists.
An accessible textbook that explains, discusses, and applies both the frequentist and Bayesian theoretical frameworks to fit the different types of statistical models that allow an analysis of the types of data most commonly gathered by life scientists.
Über den Autor
Pablo Inchausti is Professor of Ecology at the Universidad de la República, Centro Universitario Regional del Este, Uruguay. He is the co-editor of the influential and highly-cited book Biodiversity and Ecosystem Functioning: synthesis and perspectives (OUP, 2002) and has been successfully teaching statistics and mathematical modelling to students of the life and social sciences for over 15 years.
Inhaltsverzeichnis
  • Part 1: The Conceptual Basis For Fitting Statistical Models

  • 1: General introduction

  • 2: Statistical modeling: a short historical background

  • 3: Estimating parameters: the main purpose of statistical inference

  • Part II: Applying The Generalized Linear Model to Varied Data Types

  • 4: The General Linear Model I: numerical explanatory variables

  • 5: The General Linear Model II: categorical explanatory variables

  • 6: The General Linear Model III: interactions between explanatory variables

  • 7: Model selection: one, two, and more models fitted to the data

  • 8: The Generalized Linear Model

  • 9: When the response variable is binary

  • 10: When the response variables are counts, often with many zeros

  • 11: Further issues involved in the modeling of counts

  • 12: Models for positive real-valued response variables: proportions and others

  • Part III: Incorporating Experimental and Survey Design Using Mixed Models

  • 13: Accounting for structure in mixed/hierachical structures

  • 14: Experimental design in the life sciences - the basics

  • 15: Mixed-hierachical models and experimental design data

  • Afterword

  • R packages used in the book

  • Appendix 1: Using R and RStudio: the basics (only available online at [...]

  • Appendix 2: Exploring and describing the evidence in graphics (only available online at [...]

Details
Erscheinungsjahr: 2022
Fachbereich: Allgemeines
Genre: Importe, Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9780192859020
ISBN-10: 0192859021
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Inchausti, Pablo
Hersteller: Oxford University Press
Verantwortliche Person für die EU: Deutsche Bibelgesellschaft, Postfach:81 03 40, D-70567 Stuttgart, vertrieb@dbg.de
Maße: 244 x 190 x 26 mm
Von/Mit: Pablo Inchausti
Erscheinungsdatum: 02.11.2022
Gewicht: 1,074 kg
Artikel-ID: 121955481
Über den Autor
Pablo Inchausti is Professor of Ecology at the Universidad de la República, Centro Universitario Regional del Este, Uruguay. He is the co-editor of the influential and highly-cited book Biodiversity and Ecosystem Functioning: synthesis and perspectives (OUP, 2002) and has been successfully teaching statistics and mathematical modelling to students of the life and social sciences for over 15 years.
Inhaltsverzeichnis
  • Part 1: The Conceptual Basis For Fitting Statistical Models

  • 1: General introduction

  • 2: Statistical modeling: a short historical background

  • 3: Estimating parameters: the main purpose of statistical inference

  • Part II: Applying The Generalized Linear Model to Varied Data Types

  • 4: The General Linear Model I: numerical explanatory variables

  • 5: The General Linear Model II: categorical explanatory variables

  • 6: The General Linear Model III: interactions between explanatory variables

  • 7: Model selection: one, two, and more models fitted to the data

  • 8: The Generalized Linear Model

  • 9: When the response variable is binary

  • 10: When the response variables are counts, often with many zeros

  • 11: Further issues involved in the modeling of counts

  • 12: Models for positive real-valued response variables: proportions and others

  • Part III: Incorporating Experimental and Survey Design Using Mixed Models

  • 13: Accounting for structure in mixed/hierachical structures

  • 14: Experimental design in the life sciences - the basics

  • 15: Mixed-hierachical models and experimental design data

  • Afterword

  • R packages used in the book

  • Appendix 1: Using R and RStudio: the basics (only available online at [...]

  • Appendix 2: Exploring and describing the evidence in graphics (only available online at [...]

Details
Erscheinungsjahr: 2022
Fachbereich: Allgemeines
Genre: Importe, Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9780192859020
ISBN-10: 0192859021
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Inchausti, Pablo
Hersteller: Oxford University Press
Verantwortliche Person für die EU: Deutsche Bibelgesellschaft, Postfach:81 03 40, D-70567 Stuttgart, vertrieb@dbg.de
Maße: 244 x 190 x 26 mm
Von/Mit: Pablo Inchausti
Erscheinungsdatum: 02.11.2022
Gewicht: 1,074 kg
Artikel-ID: 121955481
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