Statistical Modeling With R
a dual frequentist and Bayesian approach for life scientists
$297.67
- Hardcover
480 pages
- Release Date
2 November 2022
Summary
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 analyze 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,…
Book Details
| ISBN-13: | 9780192859013 |
|---|---|
| ISBN-10: | 0192859013 |
| Author: | Pablo Inchausti |
| Publisher: | Oxford University Press |
| Imprint: | Oxford University Press |
| Format: | Hardcover |
| Number of Pages: | 480 |
| Release Date: | 2 November 2022 |
| Weight: | 1.21kg |
| Dimensions: | 29mm x 194mm x 253mm |
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Critics Review
A book that should attract curious minds of various backgrounds, knowledge, and expertise in statistics, as well as work nicely to support an enthusiastic teacher of statistical modeling. I thus recommend this book most enthusiastically. * Christian P. Robert, Journal of the American Statistical Association *
The book is a novel contribution to the literature on statistical modelling, it has my highest endorsement, and I look forward to using it in future graduate courses on applied statistics. * Lars Rönnegård, Dalarna University *
Pablo Inchausti
Pablo Inchausti is Professor of Ecology at the Universidad de la República, Centro Universitario Regional del Este, Uruguay. He is the co-editor of the influential and highly-cited book Biodiversity and Ecosystem Functioning: synthesis and perspectives (OUP, 2002) and has been successfully teaching statistics and mathematical modelling to students of the life and social sciences for over 15 years.
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