2002
DOI: 10.1002/1521-4036(200203)44:2<161::aid-bimj161>3.0.co;2-n
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Common Slope Tests for Bivariate Errors-in-Variables Models

Abstract: Likelihood ratio tests are derived for bivariate normal structural relationships in the presence of group structure. These tests may also be applied to less restrictive models where only errors are assumed to be normally distributed. Tests for a common slope amongst those from several datasets are derived for three different cases – when the assumed ratio of error variances is the same across datasets and either known or unknown, and when the standardised major axis model is used. Estimation of the slope in th… Show more

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Cited by 290 publications
(233 citation statements)
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“…The bivariate log-log scaling relationships among the functional traits and stoichiometric ratios across species of the two groups were calculated using the standardised major axes approach (Warton et al 2006). We also followed the method from Warton and Weber (2002) to test the differences in the log-log regression slopes between the two groups of bryophytes and to calculate the common slope when the homogeneity of the slopes was justified. Furthermore, the shifts in elevation (i.e.…”
Section: Discussionmentioning
confidence: 99%
“…The bivariate log-log scaling relationships among the functional traits and stoichiometric ratios across species of the two groups were calculated using the standardised major axes approach (Warton et al 2006). We also followed the method from Warton and Weber (2002) to test the differences in the log-log regression slopes between the two groups of bryophytes and to calculate the common slope when the homogeneity of the slopes was justified. Furthermore, the shifts in elevation (i.e.…”
Section: Discussionmentioning
confidence: 99%
“…The slopes and y intercepts of log-log regressions (i.e., the scaling exponents and allometric constants, respectively), as well as their 95 % confidence intervals were calculated using the protocols of Warton et al (2006). The heterogeneity of regression slopes and the common slopes were tested following (Warton and Weber 2002). (S)MATR were used to estimate the parameters for the regressions ).…”
Section: Discussionmentioning
confidence: 99%
“…Confidence intervals for individual regression slopes were calculated following Pitman (1939). We followed the methods of Warton and Weber (2002) to test for the heterogeneity of regression slopes and calculated the common slopes when homogeneity of the slopes was demonstrated. Differences in the elevation of regression slopes (y-intercept) and in shifting along the common slope were tested by ANOVA (and post hoc Tukey tests where appropriate).…”
Section: Discussionmentioning
confidence: 99%