Statistical models in morphometrics: Are they realistic?

Subhash Lele; Joan T. Richtsmeier

doi:10.2307/2992208

Statistical models in morphometrics: Are they realistic?

Subhash Lele
, Joan T. Richtsmeier

Anthropology

Research output: Contribution to journal › Article › peer-review

32 Scopus citations

Abstract

This analysis considers the validity of the assumptions of the Gaussian perturbation model as applied to landmark data collected for morphometric analyses. The primary conclusion is that the assumption of homoscedasticity is unrealistic when applied to biological data sets. We also point out some important difficulties associated with alternate models.

Original language	English (US)
Pages (from-to)	60-69
Number of pages	10
Journal	Systematic Zoology
Volume	39
Issue number	1
DOIs	https://doi.org/10.2307/2992208
State	Published - Mar 1990

All Science Journal Classification (ASJC) codes

Ecology, Evolution, Behavior and Systematics
Genetics

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10.2307/2992208

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@article{3ef044406a774b99b3e9f9eae53d75a7,

title = "Statistical models in morphometrics: Are they realistic?",

abstract = "This analysis considers the validity of the assumptions of the Gaussian perturbation model as applied to landmark data collected for morphometric analyses. The primary conclusion is that the assumption of homoscedasticity is unrealistic when applied to biological data sets. We also point out some important difficulties associated with alternate models.",

author = "Subhash Lele and Richtsmeier, \{Joan T.\}",

note = "Funding Information: Use of skeletal collections of the NMNH was kindly allowed by Dr. Richard Thorington, Division of Mammals, Smithsonian Institution. We thank Tom Broad and Steve Danahey for assistance in data collection. Rabbits used in this study were part of a larger study under the direction of Dr. Craig Dufresne, The Johns Hopkins University. This work was supported in part by a Basil O'Connor grant from the March of Dimes Birth Defects Foundation, a biomedical research grant from the Whitaker Foundation and BRSG Grant No. 2-S07-RR05445-27.",

year = "1990",

month = mar,

doi = "10.2307/2992208",

language = "English (US)",

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T1 - Statistical models in morphometrics

T2 - Are they realistic?

AU - Lele, Subhash

AU - Richtsmeier, Joan T.

N1 - Funding Information: Use of skeletal collections of the NMNH was kindly allowed by Dr. Richard Thorington, Division of Mammals, Smithsonian Institution. We thank Tom Broad and Steve Danahey for assistance in data collection. Rabbits used in this study were part of a larger study under the direction of Dr. Craig Dufresne, The Johns Hopkins University. This work was supported in part by a Basil O'Connor grant from the March of Dimes Birth Defects Foundation, a biomedical research grant from the Whitaker Foundation and BRSG Grant No. 2-S07-RR05445-27.

PY - 1990/3

Y1 - 1990/3

N2 - This analysis considers the validity of the assumptions of the Gaussian perturbation model as applied to landmark data collected for morphometric analyses. The primary conclusion is that the assumption of homoscedasticity is unrealistic when applied to biological data sets. We also point out some important difficulties associated with alternate models.

AB - This analysis considers the validity of the assumptions of the Gaussian perturbation model as applied to landmark data collected for morphometric analyses. The primary conclusion is that the assumption of homoscedasticity is unrealistic when applied to biological data sets. We also point out some important difficulties associated with alternate models.

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UR - https://www.scopus.com/pages/publications/0002505663#tab=citedBy

U2 - 10.2307/2992208

DO - 10.2307/2992208

M3 - Article

AN - SCOPUS:0002505663

SN - 1063-5157

VL - 39

SP - 60

EP - 69

JO - Systematic Zoology

JF - Systematic Zoology

IS - 1

ER -

Statistical models in morphometrics: Are they realistic?

Abstract

All Science Journal Classification (ASJC) codes

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