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Inchausti Pablo (Professor Of Ecology Professor Of Ecology Universidad De La Republica Centro Universitario Regional Del Este Uruguay)

Inchausti Pablo (Professor Of Ecology Professor Of Ecology Universidad De La Republica Centro Universitario Regional Del Este Uruguay) - Statistical Modeling With R A Dual Frequentist And Bayesian Approach For Life Scientists - Paperback

Inchausti Pablo (Professor Of Ecology Professor Of Ecology Universidad De La Republica Centro Universitario Regional Del Este Uruguay) - Statistical Modeling With R A Dual Frequentist And Bayesian Approach For Life Scientists - Paperback

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Binding: Paperback
Description: 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.
Title: Statistical Modeling With R A Dual Frequentist And Bayesian Approach For Life Scientists
Author(s): Inchausti Pablo (Professor Of Ecology Professor Of Ecology Universidad De La Republica Centro Universitario Regional Del Este Uruguay)
Publisher: Oxford University Press
Barcode: 9780192859020
Pages: 480 Pages
Publication Date: 2/2/2023
Category: Data Capture & Analysis
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