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A Leguebe

Publications and source records attributed to A Leguebe.

9 recordsLinked to original sources
PubMed1989

[Graphic normality test in human paleontology].

In human palaeontology, samples are generally collections of objects gathered according to morphological criteria and their statistical analysis usually calls for caution because of the relatively small number of objects. Testing normality for such samples is a critical problem. The procedure suggested by Filliben, however, is particularly suitable for small to moderate sample sizes. Moreover, it provides a graphical presentation of the data that permits to locate each object within the distribution range. We briefly review the principle of the method and give a computer program to carry out the necessary computations and plot. Finally, we illustrate the method by studying the distribution of the maximum length and the maximum breadth for a sample of skulls of the Upper Palaeolithic.

Female↗
PubMed1989

[Atypical indices in human paleontology].

For a normally distributed variable, the index of atypicality associated with a measurement of that variable is defined as the probability of finding a result closer to the mean of the reference population than the one actually observed. The method extends straight forwardly to multivariate situations, thus providing a joint interpretation of multiple observations recorded on the same subject. In human palaeontology, atypicality indices allow to analyze and to compare the results obtained from variables closely associated with specific traits of the morphology. We briefly outline the principle of the method and give a computer program to carry out the calculations. Finally, we apply the use of univariate and multivariate atypicality indices to data recorded on 53 Upper Palaeolithic skulls.

Analysis of Variance↗
PubMedDate not supplied

Geographic variability of digital ridge-counts: principal components analysis of male and female world samples.

A principal components analysis was made on the means of the ten digital ridge-counts, separately for 195 male populations and 165 female populations, using the variance/covariance matrix. The first three components explain respectively 74%, 12% and 4.6% in the male sample and 77.2%, 11.3% and 4.1% in the female sample. The factor scores of the individual samples were computed and scatter diagrams were plotted for the first two components. They show the existence of a geographic distribution. Ellipses of dispersion of the geographic groups show some similarity between male and female samples, although homogeneity is less than in females and less on the right than on the left hand. The structure of the components shows that the first one corresponds to a factor size, the second contrasts the thumb with fingers 2 and 3, third opposes fingers 2 and 3 to fingers 4 and 5. Data from more recent population studies can easily be referred to the suggested scheme. Their position will define more accurately the differentiation between the geographic groups.

Africa↗