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A Personal View of Statistical Packages for Linear Regression

By Jerome K. Vanclay

Abstract

This module presents some personal observations and views on statistical packages for forestry research, with particular attention on suitability for regression analysis, and important activity in development of systems models. There are many packages able to assist statistical analyses of data, designed for different purposes and audiences. I illustrate some of the features that I look for in choosing a package for linear regression analyses. I am influenced largely by the graphical abilities of a package, especially the ease with which data (and residuals) can be plotted, because I judge a model by the residuals rather than by the R-squared. However, preferences for particular features and approaches are personal, so provided that candidates have the functionality one needs, a package may be chosen on the basis of personal preference. If you don\u27t like the one you have, or find that it cannot handle your data or your analysis, look for another package. There are many well designed and tested statistical packages available, so it should always be possible to find one that suits your needs and budget

Topics: linear regression, statistics packages, forestry, 230204 Applied Statistics, 300803 Natural Resource Management
Publisher: Rainforest CRC
Year: 2002
OAI identifier: oai:espace.library.uq.edu.au:UQ:8246

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