How to make biological surveys go further with generalised linear models
- 1 January 1989
- journal article
- research article
- Published by Elsevier in Biological Conservation
- Vol. 50 (1-4) , 51-75
- https://doi.org/10.1016/0006-3207(89)90005-0
Abstract
No abstract availableThis publication has 14 references indexed in Scilit:
- Patterns in the distributions of species and the selection of nature reserves: An example from Eucalyptus forests in South-eastern New South WalesBiological Conservation, 1989
- On predicting the presence of birds in Eucalyptus forest typesBiological Conservation, 1989
- Vegetation survey design for conservation: Gradsect sampling of forests in North-eastern New South WalesBiological Conservation, 1989
- Diagnostic Displays for Assessing Leverage and Influence in Generalized Linear ModelsAustralian Journal of Statistics, 1987
- Generalized Linear Model Diagnostics Using the Deviance and Single Case DeletionsJournal of the Royal Statistical Society Series C: Applied Statistics, 1987
- Influential Observations, High Leverage Points, and Outliers in Linear RegressionStatistical Science, 1986
- Graphical Methods for Assessing Logistic Regression ModelsJournal of the American Statistical Association, 1984
- New approaches to direct gradient analysis using environmental scalars and statistical curve-fitting proceduresPlant Ecology, 1984
- Studies on the arboreal marsupial fauna of eucalypt forests being harvested for woodpulp at Eden, N.S.W. II. Relationship between the fauna density, richness and diversity, and measured variables of the habitatWildlife Research, 1983
- Logistic Regression DiagnosticsThe Annals of Statistics, 1981