1996
DOI: 10.1002/(sici)1096-8644(199606)100:2<191::aid-ajpa3>3.3.co;2-0
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Estimating sexual dimorphism by method‐of‐moments

Abstract: Estimating the degree of sexual dimorphism is difficult in fossil species because most specimens lack indicators of sex. We present a procedure that estimates sexual dimorphism in samples of unknown sex using method-of-moments. We assume that the distribution of a metric trait is composed of two underlying normal distributions, one for males and one for females. We use three moments around the mean of the combined-sex distribution to estimate the means and the common standard deviation of the two underlying di… Show more

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Cited by 11 publications
(17 citation statements)
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“…SD has been measured in many ways, but typically when the sex of each specimen is known it is measured as the ratio of mean male size to mean female size, or as the logarithm of that ratio if it is to be used in statistical analyses (Smith, 1999). When sexes are unknown, a variety of methods have been used to estimate SD, including max/min ratio (e.g., Richmond and Jungers, 1995), mean method ratio (e.g., Simons et al, 1999), method of moments (e.g., Josephson et al, 1996), coefficient of variation (e.g., Leutenegger and Shell, 1987;Lockwood et al, 1996), and the binomial dimorphism index (e.g., Reno et al, 2003). Each of these techniques is susceptible to error under various conditions, although simulation studies and studies of actual primate data have shown max/min ratios to be particularly poor estimators while mean method ratios are relatively good estimators (Plavcan, 1994;Rehg and Leigh, 1999).…”
Section: Measuring Dimorphismmentioning
confidence: 99%
“…SD has been measured in many ways, but typically when the sex of each specimen is known it is measured as the ratio of mean male size to mean female size, or as the logarithm of that ratio if it is to be used in statistical analyses (Smith, 1999). When sexes are unknown, a variety of methods have been used to estimate SD, including max/min ratio (e.g., Richmond and Jungers, 1995), mean method ratio (e.g., Simons et al, 1999), method of moments (e.g., Josephson et al, 1996), coefficient of variation (e.g., Leutenegger and Shell, 1987;Lockwood et al, 1996), and the binomial dimorphism index (e.g., Reno et al, 2003). Each of these techniques is susceptible to error under various conditions, although simulation studies and studies of actual primate data have shown max/min ratios to be particularly poor estimators while mean method ratios are relatively good estimators (Plavcan, 1994;Rehg and Leigh, 1999).…”
Section: Measuring Dimorphismmentioning
confidence: 99%
“…We would add that in fossil samples covering large geographic and chronologic ranges, interpopulational variation, directional trends or diachronic fluctuations can contribute more to the sample variation (even if the sample is large) than sexual dimorphism (this would not be the case of the Sima de los Huesos sample if, as we believe, it comes from one single population). Josephson et al (1996) used the method-of-moments to estimate the degree of sexual dimorphism in samples of unknown sex. It has the advantage over other methods of allowing estimation of confidence intervals.…”
mentioning
confidence: 99%
“…While previous studies of pattern have focused on sexual dimorphism, this study examines intraspecific variation as a whole. This difference in focus is important because, although there is a relationship between sexual dimorphism and intraspecific variation, particularly when levels of dimorphism are high and intrasexual variation is low (Fleagle et al, 1980; Plavcan, 1994), a measure of sexual dimorphism is not an exact proxy for a measure of variation, particularly when levels of dimorphism are low (Plavcan, 1994; Josephson et al, 1996; Rehg and Leigh, 1999), as they are in the dentition.…”
mentioning
confidence: 99%