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Statistical Modeling With R

- a dual frequentist and Bayesian approach for life scientists
Af: Pablo Inchausti Engelsk Paperback

Statistical Modeling With R

- a dual frequentist and Bayesian approach for life scientists
Af: Pablo Inchausti Engelsk Paperback
Tjek vores konkurrenters priser
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.
Tjek vores konkurrenters priser
Normalpris
kr 478
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser
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.
Produktdetaljer
Sprog: Engelsk
Sider: 480
ISBN-13: 9780192859020
Indbinding: Paperback
Udgave:
ISBN-10: 0192859021
Udg. Dato: 2 nov 2022
Længde: 29mm
Bredde: 245mm
Højde: 190mm
Forlag: Oxford University Press
Oplagsdato: 2 nov 2022
Forfatter(e): Pablo Inchausti
Forfatter(e) Pablo Inchausti


Kategori Matematisk modellering


ISBN-13 9780192859020


Sprog Engelsk


Indbinding Paperback


Sider 480


Udgave


Længde 29mm


Bredde 245mm


Højde 190mm


Udg. Dato 2 nov 2022


Oplagsdato 2 nov 2022


Forlag Oxford University Press