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Size Allometry: Size and Shape Variables with Characterizations of the Lognormal and Generalized Gamma Distributions

Mosimann, James E.·1970·Journal of the American Statistical Association

Abstract

Size-related shape changes in animals are studied within a general framework of size variables and shape vectors. Isometry, or independence of shape and size, is defined as the independence of some (all) shape vector(s) from a particular size variable. With mild restrictions it is shown that isometry is possible with respect to at most one size variable, or in other words that shape will always be related to a variety of size variables. The choice of a size variable is a hitherto neglected, but important, part of an allometric study. The use of functional relationships in allometry is contrasted with the approach developed here. Also, size and shape variables are used in characterizations of the lognormal, gamma and generalized gamma distributions. The results, given in a biological context, are of interest in size and shape studies generally.

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Metadata

Authors
Mosimann, J. E.
Venue
Journal of the American Statistical Association
Published
1970-06
Volume
65
Issue
330
Pages
930-945
ISSN
  • 0162-1459 (ISSN-L)
  • 1537-274X
OpenAlex
W2098530831
Cited by
860
References
0
FWCI
3.79
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Size Allometry: Size and Shape Variables with Characterizations of the Lognormal and Generalized Gamma Distributions. https://app.cochat.ai/papers/10.1080/01621459.1970.10481136
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Mosimann, J. E. (1970). Size Allometry: Size and Shape Variables with Characterizations of the Lognormal and Generalized Gamma Distributions. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.1970.10481136

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