Statistical Modeling With R

a dual frequentist and Bayesian approach for life scientists

Häftad, Engelska, 2022

AvPablo Inchausti,Uruguay) Inchausti, Pablo (Professor of Ecology, Professor of Ecology, Universidad de la Republica, Centro Universitario Regional del Este

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To date, statistics has tended to be neatly divided into two theoretical approaches or frameworks: frequentist (or classical) and Bayesian. Scientists typically choose the statistical framework to analyse their data depending on the nature and complexity of the problem, and based on their personal views and prior training on probability and uncertainty. Although textbooks and courses should reflect and anticipate this dual reality, they rarely do so. This accessible textbook 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. It presents the material in an informal, approachable, and progressive manner suitable for readers with only a basic knowledge of calculus and statistics. Statistical Modeling with R is aimed at senior undergraduate and graduate students, professional researchers, and practitioners throughout the life sciences, seeking to strengthen their understanding of quantitative methods and to apply them successfully to real world scenarios, whether in the fields of ecology, evolution, environmental studies, or computational biology.

Produktinformation

Utgivningsdatum2022-11-02
Mått189 x 246 x 22 mm
Vikt1 044 g
FormatHäftad
SpråkEngelska
Antal sidor480
FörlagOUP OXFORD
ISBN9780192859020

Tillhör följande kategorier

Tillämpad matematik inom Naturvetenskap och teknik
Matematisk statistik inom Naturvetenskap och teknik
Affärsapplikationer inom Data och IT
Databaser inom Data och IT

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.

Part 1: The Conceptual Basis For Fitting Statistical Models1: General introduction2: Statistical modeling: a short historical background3: Estimating parameters: the main purpose of statistical inferencePart II: Applying The Generalized Linear Model to Varied Data Types4: The General Linear Model I: numerical explanatory variables5: The General Linear Model II: categorical explanatory variables6: The General Linear Model III: interactions between explanatory variables7: Model selection: one, two, and more models fitted to the data8: The Generalized Linear Model9: When the response variable is binary10: When the response variables are counts, often with many zeros11: Further issues involved in the modeling of counts12: Models for positive real-valued response variables: proportions and othersPart III: Incorporating Experimental and Survey Design Using Mixed Models13: Accounting for structure in mixed/hierachical structures14: Experimental design in the life sciences - the basics15: Mixed-hierachical models and experimental design dataAfterwordR packages used in the bookAppendix 1: Using R and RStudio: the basics (only available online at www.oup.com/companion/InchaustiSMWR)Appendix 2: Exploring and describing the evidence in graphics (only available online at www.oup.com/companion/InchaustiSMWR)

Mer från samma författare

Biodiversity and Ecosystem Functioning

Michel Loreau, Shahid Naeem, Pablo Inchausti, France) Loreau, Michel (Laboratoire d'Ecologie, Ecole Normale Superieure, Paris, USA) Naeem, Shahid (Department of Zoology, University of Washington, France) Inchausti, Pablo (Laboratoire d'Ecologie, Ecole Normale Superieure, Paris

Häftad

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