Boekhandel Douwes Den Haag

Statistical Modeling With R

a dual frequentist and Bayesian approach for life scientists

Pablo Inchausti

Statistical Modeling With R

Statistical Modeling With R

a dual frequentist and Bayesian approach for life scientists

Statistical Modeling With R

 

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.


Nog te verschijnen

€ 105,00

Bezorgen: Zodra beschikbaar


Beschrijving Statistical Modeling With R

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.


ISBN
9780192859013
Pagina's
480
Verschijnt
NUR
910
Druk
1
Uitvoering
Hardback
Taal
Engels
Uitgever
OUP Oxford

Exacte wetenschappen/natuurwetenschappen