Edited By: Samuel M Scheiner and Jessica Gurevitch
415 pages, Figs, tabs
Revised second edition of this classic textbook. Chapters from the first edition have been substantially revised and new chapters have been added, introducing statistical techniques that may be unfamiliar to many ecologists, including power analysis, logistic regression, randomization tests and empirical Bayesian analysis. In addition, a strong foundation is laid in more established statistical techniques in ecology including exploratory data analysis, spatial statistics, path analysis and meta-analysis. Each technique is presented in the context of resolving an ecological issue.
"The 18 chapters in this graduate textbook on advanced statistical techniques for ecologists describe such methods as power analysis, logistic regression, randomization tests, and empirical Bayesian analysis. The second edition reflects changes in statistical theory, and computer software and hardware capabilities."--SciTech Book News
Introduction: theories, hypotheses and statisticsExploratory data analysis and graphical displayANOVA: experiments in controlled environmentsANOVA and ANCOVA: field competition experimentsMANOVA: multiple response variables and multispecies interactionsRepeated measures analysis: growth and other time-dependent measuresTime-series intervention analysis: unreplicated large-scale experimentsNon-linear curve fitting: predation and functional response curvesMultiple regression: herbivoryPath analysis: pollinationPopulation sampling and bootstrapping in complex designs: demographic analysisFailure time analysis: emergence, flowering, survivorship and other waiting timesThe bootstrap and the jackknife: describing the precision of ecological indicesSpatial statistics: analysis of field experimentMantel tests: spatial structure in field experimentsModel verification: optimal foragingMeta-analysis: combining the results of independent experimentsReferencesAuthor indexSubject index
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