Experimental Design and Data Analysis for Biologists (Broché)

  • Cambridge University Press

  • Paru le : 10/08/2002
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An essential textbook for any student or researcher in biology needing to design experiments, sampling programs or analyze the resulting data. The text... > Lire la suite
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An essential textbook for any student or researcher in biology needing to design experiments, sampling programs or analyze the resulting data. The text begins with a revision of estimation and hypothesis testing methods, covering both classical and Bayesian philosophies, before advancing to the analysis of linear and generalized linear models. Topics covered include linear and logistic regression, simple and complex ANOVA models (for factorial, nested, block, split-plot and repeated measures and covariance designs), and log-linear models. Multivariate techniques, including classification and ordination, are then introduced. Special emphasis is placed on checking assumptions, exploratory data analysis and presentation of results. The main analyses are illustrated with many examples from published papers and there is an extensive reference list to both the statistical and biological literature. The book is supported by a website that provides all data sets, questions for each chapter and links to software.
    • Estimation
    • Hypothesis testing
    • Graphical exploration of data
    • Correlation and regression
    • Multiple and complex regression
    • Design and power analysis
    • Comparing groups or treatments - analysis of variance
    • Multifactor analysis of variance
    • Randomized blocks and simple repeated measures : unreplicated two factor designs
    • Split-plot and repeated measures designs : partly nested analyses of variance
    • Analyses of covariance
    • Analyzing frequencies
    • Introduction to multivariate analyses
    • Multivariate analysis of variance and discriminant analysis
    • Principal components and correspondence analysis
    • Multidimensional scaling and cluster analysis
    • Presentation of results.
  • Date de parution : 10/08/2002
  • Editeur : Cambridge University Press
  • ISBN : 0-521-00976-6
  • EAN : 9780521009768
  • Présentation : Broché
  • Nb. de pages : 550 pages
  • Poids : 1.35 Kg
  • Dimensions : 19,0 cm × 24,5 cm × 2,7 cm
Gerry Quinn is in the School of Biological Sciences at Monash University, with research interests in marine and freshwater ecology, especially river floodplains and their associated wetlands. Michael Keough is in the Department of Zoology at the University of Melbourne, with research interests in marine ecology, environmental science and conservation biology. Both authors have extensive experience teaching experimental design and analysis courses and have provided advice on the design and analysis of sampling and experimental programs in ecology and environmental monitoring to a wide range of environmental consultants, university and government scientists.

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Experimental Design and Data Analysis for Biologists
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