An Invariant Approach to Statistical Analysis of ShapesCRC Press, 19 հնվ, 2001 թ. - 328 էջ Natural scientists perceive and classify organisms primarily on the basis of their appearance and structure- their form , defined as that characteristic remaining invariant after translation, rotation, and possibly reflection of the object. The quantitative study of form and form change comprises the field of morphometrics. For morphometrics to suc |
Բովանդակություն
| 1 | |
Morphometric Data | 15 |
Statistical Models for Landmark Coordinate Data | 61 |
Statistical Methods for Comparison of Forms | 123 |
The Study of Growth | 215 |
Classification and Clustering Applications | 245 |
Further Applications of EDMA | 263 |
Postlude | 285 |
| 287 | |
| 301 | |
Այլ խմբագրություններ - View all
An Invariant Approach to Statistical Analysis of Shapes Subhash R Lele,Joan T Richtsmeier Դիտել հնարավոր չէ - 2019 |
An Invariant Approach to Statistical Analysis of Shapes Subhash R. Lele,Joan T. Richtsmeier Դիտել հնարավոր չէ - 2001 |
An Invariant Approach to Statistical Analysis of Shapes Subhash R. Lele,Joan T. Richtsmeier Դիտել հնարավոր չէ - 2001 |
Common terms and phrases
11 with LANDMARK algorithms analysis Apert syndrome asymmetry biological bootstrap calculate chapter CINT comparison confidence intervals coordinate system covariance matrix data collection data sets defined denote digitizer dissimilarity measure distance between landmarks distribution dysmorphology EDMA EDMA-II eigenvalues elements estimated Euclidean Distance Matrix Euclidean space example Figure form change form difference matrix form space growth patterns hypothetical form individual LANDMARK 11 landmark coordinate data landmark coordinate matrix landmark data Lele linear distances LND 10 LND LND 9 LND Macaca fascicularis mandible mathematical matrix corresponding matrix normal distribution maximal invariant mean form matrix method morphometric normal nuisance parameters null hypothesis object observations obtained OINT orbit perturbation population posterior procedure Procrustes ratio represent Richtsmeier rotation sagittal shape difference similar skull specific specimens statistical STEP superimposition suture symmetric matrix synostosis testing three landmarks three-dimensional tion translation transparency triangle variability variance variance-covariance matrix vector