[1]     Ehm, W., E. Mammen and D.W. Müller (1995). Power robustification of approximately linear tests. J. Amer. Statist. Assoc. 90, 1025–1033. MR1354019

[2]     Federer, H. (1969). Geometric Measure Theory. Springer, Berlin Heidelberg. MR0257325

[3]     Fisher, R.A. (1936). The use of multiple measurements in taxonomic problems. Ann. Eugenics 7, 179–184.

[4]     Fraley, C. and A.E. Raftery (2002). Model-based clustering, discriminant analysis and density estimation. J. Amer. Statist. Assoc. 97, 611–631. MR1951635

[5]     Holzmann, H., A. Munk and B. Stratmann (2004). Identifiability of finite mixtures - with applications to circular distributions. Sankhya 66, 440–450. MR2108200

[6]     Holzmann, H., A. Munk and T. Gneiting (2006). Identifiability of finite mixtures of elliptical distributions. Scand. J. Statist. 33, 753-763. MR2300914

[7]     McLachlan, G.J. (1992). Discriminant Analysis and Statistical Pattern Recognition. Wiley, New York. MR1190469

[8]     Peel, D. and G.J. McLachlan (2000). Robust mixture modeling using the t-distribution. Statist. Computing 10, 339–348.

[9]     Peel, D., W.J. Whitten and G.J. McLachlan (2001). Fitting mixtures of Kent distributions to aid in joint set identification. J. Amer. Statist. Assoc. 96, 56–63. MR1973782

[10]     Ripley, B.D. (1996). Pattern Recognition and Neural Networks. Cambridge University Press, Cambridge, UK. MR1438788

[11]     Shorack, G.R. and J.A. Wellner (1986). Empirical Processes with Applications to Statistics. Wiley, New York. MR0838963

[12]     Stone, C.J. (1977). Consistent nonparametric regression. Ann. Statist. 5, 595–645. MR0443204

[13]     Yakowitz, S.J. and J.D. Spragins (1968). On the identifiability of finite mixtures. Ann. Math. Statist. 39, 209–214. MR0224204