| Title | Functional data analysis in evolutionary biology |
| Publication Type | Conference Paper |
| Year of Publication | 2003 |
| Authors | Heckman, NE |
| Editor | Akritas, MG, Politis, DN |
| Conference Name | RECENT ADVANCES AND TRENDS IN NONPARAMETRIC STATISTICS |
| Publisher | ELSEVIER SCIENCE BV |
| Conference Location | SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS |
| ISBN Number | 0-444-51378-7 |
| Abstract | The evolution of physical traits from one generation to the next depends on a selection mechanism and the existence of genetic variability in the parent population. The modelling and statistical analysis of this evolution is well-developed for qualitative traits and for real or vector valued traits. The methodology can be found in quantitative genetics textbooks, as well as in evolutionary biology and animal breeding literature. The development of methodology for function-valued traits is just beginning. I will explain, in statistician's terms, some basic concepts of quantitative genetics, and discuss connections to functional data analysis. |
| DOI | 10.1016/B978-044451378-6/50004-1 |
