Statistical Modeling With R: a dual frequentist and Bayesian approach for life scientists

Statistical Modeling With R: a dual frequentist and Bayesian approach for life scientists, 1, 2022 is a comprehensive biology reference published by Oxford University Press. Description By Pablo Inchausti To date, statistics has tended to be neatly divided into two theoretical approaches or frameworks: frequentist (or classical) and Bayesian.

Key Features

- 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…
- 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…
- 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…
- Publisher ‏ : ‎ Oxford University Press (February 2, 2023)

Product Details

Publisher: Oxford University Press
Edition: 1
Published Year: 2022
Format: Publisher PDF
File Size: 34.9 MB
ISBN: 9780192859013