PDF Download Modern Statistics for the Life Sciences, by Alan Grafen, Rosie Hails
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Modern Statistics for the Life Sciences, by Alan Grafen, Rosie Hails
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Model formulae represent a powerful methodology for describing, discussing, understanding, and performing the component of statistical tests known as linear statistics. It was developed for professional statisticians in the 1960s and has become increasingly available as the use of computers has grown and software has advanced. Modern Statistics for Life Scientists puts this methodology firmly within the grasp of undergraduates for the first time. The authors assume a basic knowledge of statistics--up to and including one and two sample t-tests and their non-parametric equivalents. They provide the conceptual framework needed to understand what the method does--but without mathematical proofs--and introduce the ideas in a simple and steady progression with worked examples and exercises at every stage.
This innovative text offers students a single conceptual framework for a wide range of tests-including t-tests, oneway and multiway analysis of variance, linear and polynomial regressions, and analysis of covariance-that are usually introduced separately. More importantly, it gives students a language in which they can frame questions and communicate with the computers that perform the analyses. A companion website, www.oup.com/grafenhails, provides a wealth of worked exercises in the three statistical languages; Minitab, SAS, and SPSS. Appropriate for use in statistics courses at undergraduate and graduate levels, Modern Statistics for the Life Sciences is also a helpful resource for students in non-mathematics-based disciplines using statistics, such as geography, psychology, epidemiology, and ecology.
- Sales Rank: #211980 in Books
- Published on: 2002-05-09
- Original language: English
- Number of items: 1
- Dimensions: 6.70" h x .80" w x 9.60" l, 1.42 pounds
- Binding: Paperback
- 368 pages
Review
'The book is well laid out and concepts are very well explained by making effective use of diagrams and geometric representations. There are many analyses of example data sets to ilustrate the application the methods and the interpretation of the output'. Biometrics 59, 200-209, March 2003.
"it is a stepping-stone between one's first statistics course and what one really needs as a professional biologist. That said, it is the best stepping-stone on the market". Trends in Ecology and Evolution, 2003.
"Grafen and Hails have written a very nice book...many examples also serve to highlight design or analysis errors that are commonly made and encourage constructive critism: learning from mistakes is, I think, a very powerful approach." Animal Behaviour 2003
About the Author
Degrees in Experimental Psychology, Economics and Zoology have exposed Professor Alan Grafen to various different statistical traditions, and also to his main research interest in how adaptive complexity arises through natural selection. He has been interested in statistics since he was an undergraduate, learned mathematical theory of statistics as a graduate student, and encountered modern statistics in the package GLIM as a research student. The impetus to produce a systematic introduction for undergraduates to model formulae and the General Linear Model came from his appointment in 1989 to a lectureship in Quantitative Biology at Oxford University. Degrees in Zoology, Pest Management and Population Dynamics led Dr Rosie Hails toward the more quantitative areas of ecology. Most of her research career has developed the theme of the potential impacts of biological invasions, with reference to both natural invasions and genetically modified organisms. In the early 1990s, she was involved in the first experiments monitoring the behaviour and population dynamics of transgenic plants in natural habitats across the UK with Professor Mick Crawley. More recently, at the NERC Centre for Ecology and Hydrology in Oxford, her research themes have included the dynamics of wildlife diseases as well as plants. In moving to Oxford, Dr Hails became involved in teaching Professor Alan Grafen's undergraduate course, principally through a position at St Anne's College.
Most helpful customer reviews
3 of 3 people found the following review helpful.
Wish I had found this book ten years ago
By ABP
Finally, a statistics book for biologists that starts with the big picture and then shows how particular tests and analyses follow from it. Most biostats books are piecemeal - they introduce various tests without explaining how they relate to each other, and it is difficult to get the big picture on what is happening. The foundation provided by this book is very practical - you an start using it with your data right away - and at the same time conceptually grounded so that it is well suited to developing further skills. I suggest this book for any biologist that expects to do more than the most basic stats, and for biologists that have been using stats for years but feel like they have been missing something about how they all fit together.
0 of 0 people found the following review helpful.
Uses vocabulary that is easy to understand
By Lynn
Very clear and concise information. Uses vocabulary that is easy to understand.
0 of 0 people found the following review helpful.
Five Stars
By Clement Laksana
Great book to learn BioStats
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