Biomeasurement

Author: Dawn Hawkins
Publisher: Oxford University Press
ISBN: 9780199650446
Release Date: 2014-04
Genre: Mathematics

A refreshing, student-focused introduction to the use of statistics in the study of the biosciences. Emphasising why statistical techniques are essential tools for bioscientists, Biomeasurement removes the stigma attached to statistics by giving students the confidence to use key techniques for themselves.

Biomeasurement

Author: Dawn May Hawkins
Publisher: Oxford University Press, USA
ISBN: 0199265151
Release Date: 2005
Genre: Science

Biomeasurement offers a refreshing, student-focused introduction to the use of statistics in the study of the biosciences. With an emphasis on why statistical techniques are essential tools for bioscientists, the book removes the stigma attached to statistics by providing the means to use and further explore the key techniques in the field independently. The book starts by placing the role of data analysis in the context of wider scientific method, and introduces the student to the key terms and concepts which are common to all statistical tools. It then covers descriptive statistics and inferential statistics, explaining how and why each type of technique is used, and how each can help interpret data. The book goes on to present nine key statistical tests and discuss which test to apply in different situations.

Experimental Design for the Life Sciences

Author: Graeme Ruxton
Publisher: Oxford University Press
ISBN: 9780199569120
Release Date: 2010-11-04
Genre: Education

Experimental Design for the Life Sciences teaches the reader how to effectively design experiments to ensure today's students are equipped with the skills they need to be the researchers of tomorrow. With a refreshingly approachable and articulate style, the book explains the essential elements of experimental design in clear, practical terms, so the reader can grasp and apply even the most challenging concepts, including power analysis andpseudoreplication. The inter-relatedness of experimental design, statistics, and ethical considerations is emphasised throughout the book and, above all, Experimental Design for the Life Sciencesdemonstrates how good experimental design relies on clear thinking and biological understanding, not mathematical or statistical complexity - putting it at the heart of any biosciences student's education.

Essential Maths for Geoscientists

Author: Paul I. Palmer
Publisher: John Wiley & Sons
ISBN: 9780470971932
Release Date: 2014-06-16
Genre: Mathematics

"Essential Maths for Geoscientists: An Introduction" is an accessible, student-friendly introduction to the mathematics required by those students taking degree courses within the geosciences. Clearly structured throughout, this book carefully guides students step by step through the first mathematics they will encounter and provides numerous applied examples throughout to enhance students' understanding and to place each technique in context. Opening with a chapter explaining the need for studying mathematics within geosciences, this book then moves on to cover algebra, solving equations, logarithms and exponentials, uncertainties, errors and statistics, trigonometry, vectors and basic calculus. The final chapter helps to bring the subject all together and provides detailed applied questions to test students' knowledge. Worked applied examples are included in each chapter along with applied problem questions which are a mix of straightforward maths questions, word questions and more involved questions that involve the manipulation and interpretation of real and synthetic data. The emphasis in the book is on the application of relatively rudimentary mathematics to real-life scientific problems within the geosciences, enabling students to make use of current-day research problems and real datasets.

Maths from Scratch for Biologists

Author: Alan J. Cann
Publisher: John Wiley & Sons
ISBN: 9781118685709
Release Date: 2013-04-25
Genre: Science

Numerical ability is an essential skill for everyone studying the biological sciences but many students are frightened by the 'perceived' difficulty of mathematics, and are nervous about applying mathematical skills in their chosen field of study. Having taught introductory maths and statistics for many years, Alan Cann understands these challenges and just how invaluable an accessible, confidence building textbook could be to the fearful student. Unable to find a book pitched at the right level, that concentrated on why numerical skills are useful to biologists, he wrote his own. The result is Maths from Scratch for Biologists , a highly instructive, informal text that explains step by step how and why you need to tackle maths within the biological sciences. Features: * An accessible, jargon-busting approach to help readers master basic mathematical, statistical and data handling techniques in biology * Numerous end of chapter problems to reinforce key concepts and encourage students to test their newly acquired skills through practise * A handy, time-saving glossary * A supplementary website with numerous problems and self-test exercises

How the Ocean Works

Author: Mark Denny
Publisher: Princeton University Press
ISBN: 9781400842889
Release Date: 2012-01-02
Genre: Nature

The world's oceans account for roughly 71 percent of the planet's surface and 99 percent of its livable volume. Any study of this huge habitat requires a solid foundation in the principles that underlie marine biology and physical and chemical oceanography, yet until now undergraduate textbooks have largely presented compilations of facts rather than explanations of principles. How the Ocean Works fills this gap, providing a concise and accessible college-level introduction to marine science that is also ideal for general readers. How are winds and currents driven? What is the dilemma of the two-layered ocean? Mark Denny explains key concepts like these in rich and fascinating detail. He explores early scientific knowledge of oceans, photosynthesis, trophic interactions and energy flow, and the impacts of human activities on marine and atmospheric systems. Focusing each chapter on a major topic and carefully explaining the principles and theory involved, Denny gives readers the conceptual building blocks needed to develop a coherent picture of the living ocean. How the Ocean Works is an indispensable resource that teaches readers how to think about the ocean--its biology, mechanics, and conservation. Provides a concise, up-to-date introduction to marine science Develops the conceptual basis needed to understand how the ocean works Explains fundamental principles and theory Includes color illustrations and informative diagrams Serves as a college textbook and a reference for general readers Some images inside the book are unavailable due to digital copyright restrictions.

The New Statistics with R

Author: Andy Hector
Publisher: Oxford University Press
ISBN: 9780198729051
Release Date: 2015
Genre: Science

Statistical methods are a key tool for all scientists working with data, but learning the basic mathematical skills can be one of the most challenging components of a biologist's training. This accessible book provides a contemporary introduction to the classical techniques and modern extensions of linear model analysis: one of the most useful approaches in the analysis of scientific data in the life and environmental sciences. It emphasizes an estimation-based approach that accounts for recent criticisms of the over-use of probability values, and introduces alternative approaches using information criteria. Statistics are introduced through worked analyses performed in R, the free open source programming language for statistics and graphics, which is rapidly becoming the standard software in many areas of science and technology. These analyses use real data sets from ecology, evolutionary biology and environmental science, and the data sets and R scripts are available as support material. The book's structure and user friendly style stem from the author's 20 years of experience teaching statistics to life and environmental scientists at both the undergraduate and graduate levels. The New Statistics with R is suitable for senior undergraduate and graduate students, professional researchers, and practitioners in the fields of ecology, evolution, environmental studies, and computational biology.

Surviving the 21st Century

Author: Julian Cribb
Publisher: Springer
ISBN: 9783319412702
Release Date: 2016-09-20
Genre: Nature

The book explores the central question facing humanity today: how can we best survive the ten great existential challenges that are now coming together to confront us? Besides describing these challenges from the latest scientific perspectives, it also outlines and integrates the solutions, both at global and individual level and concludes optimistically. This book brings together in one easy-to-read work the principal issues facing humanity. It is written for the two next generations who will have to deal with the compounding risks they inherit, and which flow from overpopulation, resource pressures and human nature. The author examines ten intersecting areas of activity (mass extinction, resource depletion, WMD, climate change, universal toxicity, food crises, population and urban expansion, pandemic disease, dangerous new technologies and self-delusion) which pose manifest risks to civilization and, potentially, to our species’ long-term future. This isn’t a book just about problems. It is also about solutions. Every chapter concludes with clear conclusions and consensus advice on what needs to be done at global level —but it also empowers individuals with what they can do for themselves to make a difference. Unlike other books, it offers integrated solutions across the areas of greatest risk. It explains why Homo sapiens is no longer an appropriate name for our species, and what should be done about it.

Data Analysis with Small Samples and Non normal Data

Author: Carl F. Siebert
Publisher: Oxford University Press
ISBN: 9780199391493
Release Date: 2017-09-18
Genre: Mathematics

In social sciences, education, and public health research, researchers often conduct small pilot studies (or may have planned for a larger sample but lost too many cases due to attrition or missingness), leaving them with a smaller sample than they expected and thus less power for their statistical analyses. Similarly, researchers may find that their data are not normally distributed -- especially in clinical samples -- or that the data may not meet other assumptions required for parametric analyses. In these situations, nonparametric analytic strategies can be especially useful, though they are likely unfamiliar. A clearly written reference book, Data Analysis with Small Samples and Non-Normal Data offers step-by-step instructions for each analytic technique in these situations. Researchers can easily find what they need, matching their situation to the case-based scenarios that illustrate the many uses of nonparametric strategies. Unlike most statistics books, this text is written in straightforward language (thereby making it accessible for nonstatisticians) while providing useful information for those already familiar with nonparametric tests. Screenshots of the software and output allow readers to follow along with each step of an analysis. Assumptions for each of the tests, typical situations in which to use each test, and descriptions of how to explain the findings in both statistical and everyday language are all included for each nonparametric strategy. Additionally, a useful companion website provides SPSS syntax for each test, along with the data set used for the scenarios in the book. Researchers can use the data set, following the steps in the book, to practice each technique before using it with their own data. Ultimately, the many helpful features of this book make it an ideal long-term reference for researchers to keep in their personal libraries.

Fitting Models to Biological Data Using Linear and Nonlinear Regression

Author: Harvey Motulsky
Publisher: Oxford University Press
ISBN: 9780190291396
Release Date: 2004-05-27
Genre: Science

Most biologists use nonlinear regression more than any other statistical technique, but there are very few places to learn about curve-fitting. This book, by the author of the very successful Intuitive Biostatistics, addresses this relatively focused need of an extraordinarily broad range of scientists.

Stochastic Population Dynamics in Ecology and Conservation

Author: Russell Lande
Publisher: Oxford University Press on Demand
ISBN: 0198525257
Release Date: 2003
Genre: Philosophy

All populations fluctuate stochastically, creating a risk of extinction that does not exist in deterministic models, with fundamental consequences for both pure and applied ecology. This book provides the most comprehensive introduction to stochastic population dynamics, combining classical background material with a variety of modern approaches, including new and previously unpublished results by the authors, illustrated with examples from bird and mammal populations, and insect communities. Demographic and environmental stochasticity are introduced with statistical methods for estimating them from field data. The long-run growth rate of a population is explained and extended to include age structure with both deomgraphic and environmental stochasticity. Diffusion approximations facilitate the analysis of extinction dynamics and the duration of the final decline. Methods are developed for estimating delayed density dependence from population time series using life historydata. Metapopulation viability and the spatial scale of population fluctuations and extinction risk are analyzed. Stochastic dynamics and statistical uncertainty in population parameters are incorporated in Population Viability Analysis and strategies for sustainable harvesting. Statistics of species diversity measures and species abundance distributions are described, with implications for rapid assessments of biodiversity, and methods are developed for partitioning species diversity intoadditive components. Analysis of the stochastic dynamics of a tropical butterfly community in space and time indicates that most of the variance in the species abundance distribution is due to ecological heterogeneity among species, so that real communities are far from neutral.

Matrices for Statistics

Author: M. J. R. Healy
Publisher: Oxford University Press
ISBN: 019850702X
Release Date: 2000
Genre: Mathematics

Multiple regression, linear modelling, and multivariate analysis are among the most useful statistical methods for the elucidation of complicated data, and all of them are most easily explained in matrix terms. Anyone concerned with the analysis of data needs to be familiar with these methods and a knowledge of matrices is essential in order to understand the literature in which they are described. This knowledge must include some advanced topics, but can do without much of the material covered by general textbooks of matrix algebra. This book is intended to cover the necessary ground as briefly as possible. Only the simplest of basic mathematics is used, and the book should be accessible to engineers, biologists, and social scientists as well as those with a specifically mathematical background. The text of the first edition has been re-written and revised to take account of recent developments in statistical practice. The more difficult topics have been expanded and the mathematical explanations have been simplified. A new chapter has been included, at readers' request, to cover such topics as vectorising, matrix calculus and complex numbers. From the reviews of the first edition '...this should be a valuable handbook for a great variety of statistical users.' Short Book Reviews of the International Statistics Institute '...a good reference book for the serious student.' Journal of the American Statistical Association '...a very worthwhile addition to anyone's shelf. Teaching Statistics 'I recommend it.' Technometrics

Practical Skills in Biology

Author: Allan M. Jones
Publisher: Pearson Education
ISBN: 0131755099
Release Date: 2007
Genre: Science

Practical Skills in Biology is an indispensable book for undergraduate students in the life sciences. The book provides useful support at all stages of a degree course and underpins any practical course in biology. It is also a valuable resource for teachers of biology in colleges and secondary schools. Laboratory and field studies are essential components of undergraduate training in biology. Practical work must be fully understood and effectively presented, but many students under-perform because they lack basic laboratory skills. This book, now in its fourth edition, continues to provide students with easy-to-use guidance for laboratory and field studies, but in addition it now covers broader transferable skills. As a result the new edition provides guidance and support over the entire range of a typical undergraduate course in biology.

Core Maths for the Biosciences

Author: Martin B. Reed
Publisher: Oxford University Press
ISBN: 9780199216345
Release Date: 2011-03-31
Genre: Education

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.

Getting Started with R

Author: Andrew P. Beckerman
Publisher: Oxford University Press
ISBN: 9780198787839
Release Date: 2017-01-26
Genre: Science

R is rapidly becoming the standard software for statistical analyses, graphical presentation of data, and programming in the natural, physical, social, and engineering sciences. Getting Started with R is now the go-to introductory guide for biologists wanting to learn how to use R in their research. It teaches readers how to import, explore, graph, and analyse data, while keeping them focused on their ultimate goals: clearly communicating their data in oral presentations, posters, papers, and reports. It provides a consistent workflow for using R that is simple, efficient, reliable, and reproducible. This second edition has been updated and expanded while retaining the concise and engaging nature of its predecessor, offering an accessible and fun introduction to the packages dplyr and ggplot2 for data manipulation and graphing. It expands the set of basic statistics considered in the first edition to include new examples of a simple regression, a one-way and a two-way ANOVA. Finally, it introduces a new chapter on the generalised linear model. Getting Started with R is suitable for undergraduates, graduate students, professional researchers, and practitioners in the biological sciences.