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Showing 1-16 of 16
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Presenting Scientific Data in R: Creating effective graphs and figures£22.99 Rosalind K. Humphreys, Graeme D. Ruxton
9780198870470 Written primarily for students embarking on an undergraduate bioscience degree, this primer provides an accessible, straightforward, and approachable guide to data presentation using R. |
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Introduction to Quantitative Ecology: Mathematical and Statistical Modelling for Beginners£34.99 Timothy E. Essington
9780192843487 Environmental science (ecology, conservation, and resource management) is an increasingly quantitative field. This accessible textbook introduces quantitative ecology in a manner that aims to confront the limitations of the current literature and thereby appeal to a far wider audience. |
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Applied Statistics with R: A Practical Guide for the Life Sciences£32.50 Justin C. Touchon
9780198869337 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. |
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Insights from Data with R: An Introduction for the Life and Environmental Sciences£27.99 Owen L. Petchey, Andrew P. Beckerman, Natalie Cooper, Dylan Z. Childs
9780198849827 This accessible and engaging book provides readers with the knowledge, experience, and confidence to work with raw data and unlock essential information (insights) from data summaries and visualisations. |
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Power Analysis: An Introduction for the Life Sciences£22.99 Nick Colegrave, Graeme D. Ruxton
9780198846635 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. |
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One Thousand Exercises in Probability: Third EditionThird Edition £29.99 Geoffrey Grimmett, David Stirzaker
9780198847618 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£39.99 Kevin S. McCann, Gabriel Gellner
9780198824299 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£36.49 M. D. Edge
9780198827634 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£41.99 Therese M. Donovan, Ruth M. Mickey
9780198841302 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 StatisticsFourth Edition £34.99 Dawn Hawkins
9780198807483 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 BiologistsSecond Edition £28.49 Andrew P. Beckerman, Dylan Z. Childs, Owen L. Petchey
9780198787846 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 BiosciencesThird Edition £47.99 Debbie Holmes, Peter Moody, Diana Dine, Laurence Trueman
9780198728498 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£44.99 Graham Currell
9780198712541 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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Maths for Science£47.99 Sally Jordan, Shelagh Ross, Pat Murphy
9780199644964 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£49.99 Martin B. Reed
9780199216345 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£49.99 Alan Grafen, Rosie Hails
9780199252312 |