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

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Autor:	Pablo Inchausti
Lehekülgede arv:	480
Ilmumisaasta:	2022
Kauba ID:	13975971

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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.

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Kauba ID:	13975971
Kategooria:	Majandusalased raamatud
Tootepakendite arv:	1 tk.
Paki suurus ja kaal (1):	0,02 x 0,19 x 0,25 m, 1,04 kg
Kirjastus:	Oxford University Press
Raamatu keel:	Inglise keel
Kaane tüüp:	Pehme
Vorming:	Traditsiooniline raamat
Tüüp:	Raamatud eneseharimiseks
Raamat väljavõttega:	Jah
Autor:	Pablo Inchausti
Lehekülgede arv:	480
Ilmumisaasta:	2022

Lisainfo

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

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