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- Дата: 5-11-2022, 07:16
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Автор: Pablo Inchausti
Издательство: Oxford University Press
Год: 2023
Страниц: 519
Язык: английский
Формат: pdf (true)
Размер: 36.0 MB
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. This book will make extensive use of the R programming environment. This is an open-source (one can access and edit the code of all the R functions and save a revised version in one’s computer), interpreted (it does not require compilation to be executed) programming language environment for statistical computing and graphics.