| 期刊全稱 | Analyzing Ecological Data | | 影響因子2023 | Alain F. Zuur,Elena N. Ieno,Graham M. Smith | | 視頻video | http://file.papertrans.cn/157/156007/156007.mp4 | | 發(fā)行地址 | A comprehensive and practical guide to analysing ecological data based on courses given to researchers, environmental consultants and post graduate students..Provides comprehensive introductory chapte | | 學(xué)科分類 | Statistics for Biology and Health | | 圖書封面 |  | | 影響因子 | ‘Which test should I apply?‘ During the many years of working with ecologists, biologists and other environmental scientists, this is probably the question that the authors of this book hear the most often. The answer is always the same and along the lines of ‘What are your underlying questions?‘, ‘What do you want to show?‘. The answers to these questions provide the starting point for a detailed discussion on the ecological background and purpose of the study. This then gives the basis for deciding on the most appropriate analytical approach. Therefore, a better start- ing point for an ecologist is to avoid the phrase ‘test‘ and think in terms of ‘a(chǎn)naly- sis‘. A test refers to something simple and unified that gives a clear answer in the form of a p-value: something rarely appropriate for ecological data. In practice, one has to apply a data exploration, check assumptions, validate the models, per- haps apply a series of methods, and most importantly, interpret the results in terms of the underlying ecology and the ecological questions being investigated. Ecology is a quantitative science trying to answer difficult questions about the complex world we live in. Most ecologists are | | Pindex | Book 2007 |
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