Abstract
Preface An Ecological Example The GLIM Language Introduction to Experimental Design Understanding Data: Graphical Analysis Understanding Data: Basic Statistics Regression and GLIM Anova and GLIM Analysis of Covariance in GLIM Linear Models Model Simplification Model Criticism Analysing Count Data: Poisson Errors Analysing Proportion Data: Binomial Errors Binary Response Variables Data with Gamma Errors Survival Data Ecological Techniques What GLIM Doesn't Do Programming in GLIM Technical Appendices Statistical Tables Library of GLIM Programmes and Macros (on disk)
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