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Design and Analysis of Ecological Experiments by Sam Scheiner (1998, Hardcover)
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About this product
Product Identifiers
PublisherCRC Press LLC
ISBN-100412035618
ISBN-139780412035616
eBay Product ID (ePID)444583
Product Key Features
Number of Pages445 Pages
LanguageEnglish
Publication NameDesign and Analysis of Ecological Experiments
SubjectLife Sciences / Ecology, Probability & Statistics / General, Environmental / General, Research & Methodology
Publication Year1998
TypeTextbook
Subject AreaMathematics, Technology & Engineering, Science
AuthorSam Scheiner
FormatHardcover
Dimensions
Item Height0.9 in
Item Weight22.1 Oz
Item Length9 in
Item Width6.3 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN92-036187
Dewey Edition20
Grade FromCollege Freshman
IllustratedYes
Dewey Decimal574.50724
Table Of ContentIntroduction: theories, hypotheses and statistics Exploratory data analysis and graphical display ANOVA: experiments in controlled environments ANOVA and ANCOVA: field competition experiments MANOVA: multiple response variables and multispecies interactions Repeated measures analysis: growth and other time-dependent measures Time-series intervention analysis: unreplicated large-scale experiments Non-linear curve fitting: predation and functional response curves Multiple regression: herbivory Path analysis: pollination Population sampling and bootstrapping in complex designs: demographic analysis Failure time analysis: emergence, flowering, survivorship and other waiting times The bootstrap and the jackknife: describing the precision of ecological indices Spatial statistics: analysis of field experiment Mantel tests: spatial structure in field experiments Model verification: optimal foraging Meta-analysis: combining the results of independent experiments References Author index Subject index
SynopsisThe goal of this book is to make some underutilized but potentially very useful methods in experimental design and analysis available to ecologists, and to encourage better use of standard statistical techniques. Ecology has become more and more an experimental science in both basic and applied work, but experiments in the field and in the laboratory often present formidable statistical difficulties. Organized around providing solutions to ecological problems, this book offers ways to improve the statistical aspects of conducting manipulative ecological experiments, from setting them up to interpreting and reporting the results. An abundance of tools, including advanced approaches, are made available to ecologists in step-by-step examples, with computer code provided for common statistical packages. This is an essential how-to guide for the working ecologist and for graduate students preparing for research and teaching careers in the field of ecology., The goal of this book is to make some underutilized but potentially very useful methods in experimental design and analysis available to ecologists, and to encourage better use of standard statistical techniques. Ecology has become more and more an experimental science in both basic and applied work,but experiments in the field and in the laboratory often present formidable statistical difficulties. Organized around providing solutions to ecological problems, this book offers ways to improve the statistical aspects of conducting manipulative ecological experiments, from setting them up to interpreting and reporting the results. An abundance of tools, including advanced approaches, are made available to ecologists in step-by-step examples, with computer code provided for common statistical packages. This is an essential how-to guide for the working ecologist and for graduate students preparing for research and teaching careers in the field of ecology., The goal of this book is to make some underutilized but potentially very useful methods in experimental design and analysis available to ecologists, and to encourage better use of standard statistical techniques. Ecology has become more and more an experimental science in both basic and applied work, but experiments in the field and in the laboratory often present formidable statistical difficulties. Organized around providing solutions to ecological problems, this book offers ways to improve the statistical aspects of conducting manipulative ecological experiments, from setting them up to interpreting and reporting the results. An abundance of tools, including advanced approaches, are made available to ecologists in step-by-step examples, with computer code provided for common statistical packages. This is an essential how-to guide for the working ecologist and for graduate students preparing for research and teaching careers in the field of ecology
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