<p>MANOVA/CVA of 24 size adjusted biometric characters of 12 RLTB populations. (a) Clusters of all 12 populations on the first two canonical axis and (b) pair wise matrix of Fisher’s distances between the centroids of the clusters (upper diagonal) and P values for Fisher’s distances (lower diagonal). Percent discrimination by each canonical axis is shown in parenthesis.</p
<p>Significant scores after Bonferroni correction are in bold and probability values are based on 10...
The problem of classifying multivariate normal populations into homogeneous clusters on the basis of...
Pair wise matrix of Mahalanobis distances between the centroids of the clusters (above diagonal) and...
<p>Lead bioassays (A) and 4-NP bioassays (B). In grey extreme indivuals in negative side, in black e...
<p>(a) Mapping the individual data according to the CDA variables. The inner ellipsoid contains 50% ...
<p><i>N</i>, number of individuals.</p><p>Classification results obtained with the stepwise discrimi...
<p>a) Principal Component Analysis of relative frequencies of haplogroups within populations, b) wit...
<p>Partial η<sup>2</sup> is a measure of effect strength. LDFA% and QDFA% are the percentages of ind...
<p>A. Principal Component Analysis (PCA); note that this analysis is performed on all specimens (gre...
In existing Linear Discriminant Analysis (LDA) models, the class population mean is always estimated...
<p>Significant scores after Bonferroni correction are in bold and probability values are based on 10...
The problem of assessing the difference in species composition between groups of biological populati...
<p>In the case of all nine mandibular variables the initial MANOVA was significant (p<0.001). Here B...
A new method for population comparison has been developed in order to determine the most discriminat...
<p>Linear discriminant analysis of morphometric data of the <i>Charius</i> clade members.</p
<p>Significant scores after Bonferroni correction are in bold and probability values are based on 10...
The problem of classifying multivariate normal populations into homogeneous clusters on the basis of...
Pair wise matrix of Mahalanobis distances between the centroids of the clusters (above diagonal) and...
<p>Lead bioassays (A) and 4-NP bioassays (B). In grey extreme indivuals in negative side, in black e...
<p>(a) Mapping the individual data according to the CDA variables. The inner ellipsoid contains 50% ...
<p><i>N</i>, number of individuals.</p><p>Classification results obtained with the stepwise discrimi...
<p>a) Principal Component Analysis of relative frequencies of haplogroups within populations, b) wit...
<p>Partial η<sup>2</sup> is a measure of effect strength. LDFA% and QDFA% are the percentages of ind...
<p>A. Principal Component Analysis (PCA); note that this analysis is performed on all specimens (gre...
In existing Linear Discriminant Analysis (LDA) models, the class population mean is always estimated...
<p>Significant scores after Bonferroni correction are in bold and probability values are based on 10...
The problem of assessing the difference in species composition between groups of biological populati...
<p>In the case of all nine mandibular variables the initial MANOVA was significant (p<0.001). Here B...
A new method for population comparison has been developed in order to determine the most discriminat...
<p>Linear discriminant analysis of morphometric data of the <i>Charius</i> clade members.</p
<p>Significant scores after Bonferroni correction are in bold and probability values are based on 10...
The problem of classifying multivariate normal populations into homogeneous clusters on the basis of...
Pair wise matrix of Mahalanobis distances between the centroids of the clusters (above diagonal) and...