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

— —

Pablo Inchausti (Professor of Ecology, Professor of Ecology, Universidad de la República, Centro Universitario Regional del Este, Uruguay)

Statistical Modeling With R

a dual frequentist and Bayesian approach for life scientists

Pablo Inchausti (Professor of Ecology, Professor of Ecology, Universidad de la República, Centro Universitario Regional del Este, Uruguay)

$103.95

Paperback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Oxford University Press
25 January 2023

Probability & statistics; Mathematical modelling; Mathematical & statistical software; Data capture & analysis

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.

By: Pablo Inchausti (Professor of Ecology Professor of Ecology Universidad de la República Centro Universitario Regional del Este Uruguay)
Imprint: Oxford University Press
Country of Publication: United Kingdom
Dimensions: Height: 246mm, Width: 189mm, Spine: 22mm
Weight: 1.044kg
ISBN: 9780192859020
ISBN 10: 0192859021
Pages: 480
Publication Date: 25 January 2023
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

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.

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

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 * [This is] a book that should attract curious minds of various background, 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 *