1 |
Dryden IL and Mardia KV (2016). Statistical Shape Analysis with Applications in R (2nd ed), John Wiley & Sons, New York.
|
2 |
Dryden IL and Walker G (1999). Highly resistant regression and object matching, Biometrics, 55, 820-825.
DOI
|
3 |
Er F (1998). Robust methods in statistical shape analysis (Ph.D. thesis), University of Leeds, Leeds, UK.
|
4 |
Goodall C (1991). Procrustes methods in the statistical analysis of shape (with discussion), Journal of Royal Statistical Society, Series B (Methodological), 53, 285-339.
DOI
|
5 |
Rohlf FJ and Slice D (1990). Extensions of the Procrustes method for the optimal superimposition of landmarks, Systematic Zoology, 39, 40-59.
DOI
|
6 |
Gower JC (1975). Generalized Procrustes analysis, Psychometrika, 40, 33-51.
DOI
|
7 |
Kendall DG (1984). Shape manifolds, Procrustean metrics, and complex projective spaces, Bulletin of the London Mathematical Society, 16, 81-121.
DOI
|
8 |
Kent JT (1994). The complex Bingham distribution and shape analysis, Journal of Royal Statistical Society, Series B (Methodological) , 56, 285-299.
DOI
|
9 |
Rousseeuw PJ (1984). Least median of squares regression, Journal of the American Statistical Association, 79, 871-880.
DOI
|
10 |
Rousseeuw PJ and Leroy AM (1987). Robust Regression and Outlier Detection, Wiley, New York.
|
11 |
Siegel AF and Benson RH (1982). A robust comparison of biological shapes, Biometrics, 38, 341-350.
DOI
|
12 |
Ten Berge JMF (1977). Orthogonal Procrustes rotation for two or more matrices, Psychometrika, 42, 267-276.
DOI
|
13 |
Verboon P and Heiser WJ (1992). Resistant orthogonal Procrustes analysis, Journal of Classification, 9, 237-256.
DOI
|