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The Reduced Major Axis of a Bivariate Sample

✍ Scribed by M. R. B. Clarke

Book ID
124289142
Publisher
Oxford University Press
Year
1980
Tongue
English
Weight
604 KB
Volume
67
Category
Article
ISSN
0006-3444

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Sampling experiments are done on the maximum likelihood estimator, k = tan (f), of the slope of the bivariate normal major axis, which is often used on log-transformed data to estimate ailometry exponents. The slope tan (f) becomes highly variable in small samples from populations with low correlati

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## Abstract Many investigators use the reduced major axis (RMA) instead of ordinary least squares (OLS) to define a line of best fit for a bivariate relationship when the variable represented on the __X__‐axis is measured with error. OLS frequently is described as requiring the assumption that __X_