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GLIM for ecologists by Michael J. Crawley β€” book cover
Statistics, Computer Mathematics, Ecological Management & Studies, Mathematical Modeling - Science

GLIM for ecologists

by Michael J. Crawley
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Overview

GLIM is one of the most powerful and efficient software packages for statistical analysis commercially avialable. The package can handle most of the analysis that ecologists are likely to carry out - regression, analysis of variance, log-linear models of counts, models in which the variance increases with the mean, models of survival, and much more. An initial encounter with GLIM can be a daunting experience for the beginner and a clear and comprehensive introduction to the package is essential. GLIM for Ecologists introduces the reader, step-by-step, to the methods of generalised linear modelling using the GLIM statistical language. Every ecologist intending to use the package will benefit from using the book as a guide through the initially impenetrable GLIM language. The book is appropriate for students and professionals alike and assumes that the reader has a working knowledge of linear regression, analysis of variance, significance tests, running programs on a desktop computer, and directory structure and file management in DOS. The book contains a wealth of exercises and examples and all of the data sets used in the book are available on disc

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Editorials

Booknews

For ecologists from the student to the veteran researcher, presents a practical approach to learning the rationale and methods of linear modeling using the GLIM software package, which is not known for its user friendliness. Starts with the absolute basics and progresses by baby steps to the critical analysis of experimental and observational data, explaining concepts and methodology, rather than simply giving recipes. Assumes a knowledge of linear regression, the analysis of variance, significance tests; some experience on a desktop computer; and DOS or Windows. Includes a 3.5" disk. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Book Details

Published
September 9, 1993
Publisher
Oxford ; Blackwell Scientific Publications, 1993.
Pages
392
Format
Hardcover
ISBN
9780632031566

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