11.07.2015 Views

2DkcTXceO

2DkcTXceO

2DkcTXceO

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

334 The present’s futureIchino, M. and Yaguchi, H. (1994). Generalized Minkowski metrics for mixedfeature type data analysis. IEEE Transactions on Systems, Man and Cybernetics,24:698–708.Kettenring, J.R. (1997). Shaping statistics for success in the 21st century.Journal of the American Statistical Association, 92:1229–1234.Kim, J. and Billard, L. (2011). A polythetic clustering process for symbolicobservations and cluster validity indexes. Computational Statistics andData Analysis, 55:2250–2262.Kim, J. and Billard, L. (2013). Dissimilarity measures for histogram-valuedobservations. Communications in Statistics: Theory and Methods,42:283–303.Le-Rademacher, J. and Billard, L. (2012). Symbolic-covariance principalcomponent analysis and visualization for interval-valued data. Journalof Computational and Graphical Statistics, 21:413–432.Noirhomme-Fraiture, M. and Brito, M.P. (2011). Far beyond the classicaldata models: Symbolic data analysis. Statistical Analysis and Data Mining,4:157–170.Schweizer, B. (1984). Distributions are the numbers of the future. In Proceedingsof the Mathematics of Fuzzy Systems Meeting (A. di Nola andA. Ventes, Eds.). Università diNapoli,Napoli,Italy,pp.137–149.Singh, K. (1981). On the asymptotic accuracy of Efron’s bootstrap. TheAnnals of Statistics, 9:1187–1195.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!