Bernhard Wiesemüller
Biographic Data
| ID | 4182528 |
|---|---|
| NAME | Bernhard Wiesemüller |
| GIVEN NAMES | Bernhard |
| FAMILY NAME | Wiesemüller |
| SIGNATURE | WIESEMÜLLER B |
| AFFILIATIONS | University of Göttingen |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1999 |
| LATEST PUBLICATION YEAR | 2006 |
| H-INDEX | 0 |
Interpretation of Bootstrap Values in Phylogenetic Analysis
Bootstrap Analysis is a common tool in cladistics, and consequently many authors tend to believe that it could be close to a test of monophyly. In fact, it is only a procedure to calculate the redundancy of a certain character pattern among taxa. To demonstrate this, we set up a study with questionable data: Four skulls of great apes and humans were digitally photographed, and the pixels' brightness values were simply transformed to a one-zero-ma…
Q-Factor Analysis as a Tool for Phylogenetic Studies of Morphometric Data
The statistical procedure of Q-factor analysis was applied with the aim to detect complex morphological characters, which clearly separate taxonomic groups. Since Q-factor analysis, unlike cluster analysis, does not prescribe a hierarchical grouping, the results can be interpreted phylogenetically using an outgroup comparison. The essential steps of the approach are demonstrated by an empirical study on the phylogeny of Callitrichinae. Except for…
Statistical approaches to handle proportions as characters
The handling of morphometric proportions as characters in phylogenetics is methodically hardly elaborated. Common approaches are either to search for statistically significant differences in "index"-values, usually quotients of measures, or to compare regression lines for logarithmic values. The former have their weakness in an insufficient consideration of allometric proportions, the latter in a lack of appropriate methods for testing statistica…
The Size of Differences as a Quality Criterion for Characters in Phylogenetics.
One important aspect regarding the suitability of a character for phylogenetic reconstruction is the separability of compared groups with regard to different character states. Therefore, it is recommendable to standardize mean differences with respect to the dispersion of individual data.
New World Monkeys - A Phylogenetic Study
No prominent works on this page.
New World Monkeys - A Phylogenetic Study
The Size of Differences as a Quality Criterion for Characters in Phylogenetics.
One important aspect regarding the suitability of a character for phylogenetic reconstruction is the separability of compared groups with regard to different character states. Therefore, it is recommendable to standardize mean differences with respect to the dispersion of individual data.
Interpretation of Bootstrap Values in Phylogenetic Analysis
Bootstrap Analysis is a common tool in cladistics, and consequently many authors tend to believe that it could be close to a test of monophyly. In fact, it is only a procedure to calculate the redundancy of a certain character pattern among taxa. To demonstrate this, we set up a study with questionable data: Four skulls of great apes and humans were digitally photographed, and the pixels' brightness values were simply transformed to a one-zero-ma…
Q-Factor Analysis as a Tool for Phylogenetic Studies of Morphometric Data
The statistical procedure of Q-factor analysis was applied with the aim to detect complex morphological characters, which clearly separate taxonomic groups. Since Q-factor analysis, unlike cluster analysis, does not prescribe a hierarchical grouping, the results can be interpreted phylogenetically using an outgroup comparison. The essential steps of the approach are demonstrated by an empirical study on the phylogeny of Callitrichinae. Except for…
Statistical approaches to handle proportions as characters
The handling of morphometric proportions as characters in phylogenetics is methodically hardly elaborated. Common approaches are either to search for statistically significant differences in "index"-values, usually quotients of measures, or to compare regression lines for logarithmic values. The former have their weakness in an insufficient consideration of allometric proportions, the latter in a lack of appropriate methods for testing statistica…
Biology (5 works) · Phylogenetic tree (5 works) · Evolutionary biology (4 works) · Genetics (4 works) · Mathematics (4 works) · Statistics (4 works) · Computer Science (3 works) · Evolution and Paleontology Studies (3 works) · Phylogenetics (3 works) · Character (mathematics) (2 works)