BIVARIATE LINEAR MODELS IN BIOMETRY
Bivariate linear models in biometry. Sys!. Zool. 26:201-209.-This paper focuses on the estimation of parameters in the bivariate linear model, especially in the context of bivariate size-shape relationships or allometry. Existing estimation procedures (regression, major axis, reduced major axis) all...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.453.474 2023-05-15T18:00:50+02:00 BIVARIATE LINEAR MODELS IN BIOMETRY B. Kuhryl L. F. Marcus The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.453.474 http://www.faculty.biol.ttu.edu/strauss/Morphometrics/Readings/KuhryMarcus1977.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.453.474 http://www.faculty.biol.ttu.edu/strauss/Morphometrics/Readings/KuhryMarcus1977.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.faculty.biol.ttu.edu/strauss/Morphometrics/Readings/KuhryMarcus1977.pdf text ftciteseerx 2016-01-08T06:01:55Z Bivariate linear models in biometry. Sys!. Zool. 26:201-209.-This paper focuses on the estimation of parameters in the bivariate linear model, especially in the context of bivariate size-shape relationships or allometry. Existing estimation procedures (regression, major axis, reduced major axis) all depend on a priori assumptions on the ratio of the residuals, usually called "errors, " in both variables. These assumptions are reviewed and evaluated. The Bartlett method is not independent of assumptions on the residuals as has been often claimed. A method which does not require assumptions on the ratio of residuals, providing data from a third variable are available, is given. All of the methods discussed are illustrated with data measured on planktonic Foraminifera. [Bivariate; allometry; regression; major axis; Foraminifera.] The means of measurements on a sample of organisms are strongly dependent on size fluctuations due to the age distribution of the sample, environmental fluctuations, and-in fossils-sedimentary sorting. Shape factors are in general found to be more Text Planktonic foraminifera Unknown |
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English |
description |
Bivariate linear models in biometry. Sys!. Zool. 26:201-209.-This paper focuses on the estimation of parameters in the bivariate linear model, especially in the context of bivariate size-shape relationships or allometry. Existing estimation procedures (regression, major axis, reduced major axis) all depend on a priori assumptions on the ratio of the residuals, usually called "errors, " in both variables. These assumptions are reviewed and evaluated. The Bartlett method is not independent of assumptions on the residuals as has been often claimed. A method which does not require assumptions on the ratio of residuals, providing data from a third variable are available, is given. All of the methods discussed are illustrated with data measured on planktonic Foraminifera. [Bivariate; allometry; regression; major axis; Foraminifera.] The means of measurements on a sample of organisms are strongly dependent on size fluctuations due to the age distribution of the sample, environmental fluctuations, and-in fossils-sedimentary sorting. Shape factors are in general found to be more |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
B. Kuhryl L. F. Marcus |
spellingShingle |
B. Kuhryl L. F. Marcus BIVARIATE LINEAR MODELS IN BIOMETRY |
author_facet |
B. Kuhryl L. F. Marcus |
author_sort |
B. Kuhryl |
title |
BIVARIATE LINEAR MODELS IN BIOMETRY |
title_short |
BIVARIATE LINEAR MODELS IN BIOMETRY |
title_full |
BIVARIATE LINEAR MODELS IN BIOMETRY |
title_fullStr |
BIVARIATE LINEAR MODELS IN BIOMETRY |
title_full_unstemmed |
BIVARIATE LINEAR MODELS IN BIOMETRY |
title_sort |
bivariate linear models in biometry |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.453.474 http://www.faculty.biol.ttu.edu/strauss/Morphometrics/Readings/KuhryMarcus1977.pdf |
genre |
Planktonic foraminifera |
genre_facet |
Planktonic foraminifera |
op_source |
http://www.faculty.biol.ttu.edu/strauss/Morphometrics/Readings/KuhryMarcus1977.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.453.474 http://www.faculty.biol.ttu.edu/strauss/Morphometrics/Readings/KuhryMarcus1977.pdf |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766170083375185920 |