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Maths & Statistics for Bioscience


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Publication Date

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Cover for 9780198869337

Applied Statistics with R: A Practical Guide for the Life Sciences


Justin C. Touchon

June 2021

This book uses the statistical language R, which is the choice of ecologists worldwide and is rapidly becoming the 'go-to' stats program throughout the life-sciences. Furthermore, by using a single, real-world dataset throughout the book, readers are encouraged to become deeply familiar with an imperfect but realistic set of data.

Cover for 9780198846635

Power Analysis: An Introduction for the Life Sciences


Nick Colegrave, Graeme D. Ruxton

November 2020

Oxford Biology Primers

Written primarily for mid-to-upper level undergraduates, this compelling introduction to power analysis offers a clear, conceptual understanding of the factors that influence statistical power, as well as guidance on improving and presenting the outcomes of power analyses to justify experimental design decisions.

Cover for 9780198847618

One Thousand Exercises in Probability: Third Edition

Third Edition


Geoffrey Grimmett, David Stirzaker

July 2020

This volume of more than 1300 exercises and solutions in probability theory has two roles. It is both a freestanding book of exercises and solutions in probability theory, and a manual for students and teachers covering the exercises and problems in the companion volume Probability and Random Processes (4th edition).

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Theoretical Ecology: concepts and applications


Kevin S. McCann, Gabriel Gellner

May 2020

This book continues the authoritative and established sequence of theoretical ecology books initiated by Robert M. May which helped pave the way for ecology to become a more robust theoretical science, encouraging the modern biologist to better understand the mathematics behind their theories.

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Statistical Thinking from Scratch: A Primer for Scientists


M. D. Edge

June 2019

Focuses on detailed instruction in a single statistical technique, simple linear regression (SLR), with the goal of gaining tools, understanding, and intuition that can be applied to other contexts.

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Bayesian Statistics for Beginners: a step-by-step approach


Therese M. Donovan, Ruth M. Mickey

May 2019

This is an entry-level book on Bayesian statistics written in a casual, and conversational tone. The authors walk a reader through many sample problems step-by-step to provide those with little background in math or statistics with the vocabulary, notation, and understanding of the calculations used in many Bayesian problems.

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Biomeasurement: A Student's Guide to Biological Statistics

Fourth Edition


Dawn Hawkins

May 2019

The introductory biological statistics text with the best online resources and software support for bioscience students needing to integrate statistics into their studies and apply it in their research.

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Getting Started with R: An Introduction for Biologists

Second Edition


Andrew P. Beckerman, Dylan Z. Childs, Owen L. Petchey

February 2017

A popular entry-level guide into the use of R as a statistical programming and data management language for students, post-docs, and seasoned researchers now in a new revised edition, incorporating the updates in the R environment, and also adding guidance on the use of more complex statistical analyses and tools.

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Research Methods for the Biosciences

Third Edition


Debbie Holmes, Peter Moody, Diana Dine, Laurence Trueman

November 2016

The only text to cover in one concise resource all the key aspects of research methodology that undergraduate bioscience students need to know.

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Scientific Data Analysis


Graham Currell

February 2015

The only data analysis text to both describe the principles and show the practice, combining text and video to optimum effect.

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The New Statistics with R: An Introduction for Biologists


Andy Hector

January 2015

An introductory level text covering linear, generalized linear, linear mixed-effects, and generalized mixed models implemented in R and set within a contemporary framework.

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Maths for Science


Sally Jordan, Shelagh Ross, Pat Murphy

September 2012

Maths for Science overturns the misconception that maths is a daunting, theory-filled subject by providing a confidence-boosting overview of essential mathematical skills and techniques. Written in a clear, straightforward style, with examples and practice problems throughout, it is the ideal guide for all science students.

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Core Maths for the Biosciences


Martin B. Reed

March 2011

Core Maths for the Biosciences introduces the range of mathematical concepts that bioscience students need to master during thier studies. Starting from fundamental concepts, it blends clear explanations and biological examples throughout as it equips the reader with the full range of mathematical tools required by biologists today.

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Modern Statistics for the Life Sciences


Alan Grafen, Rosie Hails

March 2002

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