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

By (author) Pablo Inchausti

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normal price: R 4 586.95

Price: R 4 127.95


| book description |

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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Normally shipped | This title will take longer to obtain, and should be delivered in 6-8 weeks
Publisher | Oxford University Press
Published date | 2 Nov 2022
Language |
Format | Hardback
Pages | 480
Dimensions | 194 x 253 x 29mm (L x W x H)
Weight | 1214g
ISBN | 978-0-1928-5901-3
Readership Age |
BISAC | mathematics / probability & statistics / general


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Normally shipped | Usually dispatched in 3 to 4 weeks as supplier is out of stock
Readership Age |
Normal Price | R 4 667.95
Price | R 4 201.95 | on special |



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