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where the relation is attached to, as shown in Figure 5.7. In this case, it is a point in Sketch1. Without custom programming, there is no way to identify items in a sketch by name, but you already know which point it is; you just needed to know whether it was in the sketch or on the model.

Huber, P.J. (1973a), Robust regression: Asymptotics, conjectures and Monte Carlo, Ann. Statist., 1, 799-821. Huber, P.J. (1973b), The use of Choquet capacities in statistics, Bull. Znt. Statist. Inst., Proc. 39th Session, 45, 181-191. Huber, P.J. (1975), Robustness and designs, In A Survey of Statistical Design and Linear Models, J.N. Srivastava, Ed., North-Holland, Amsterdam. Huber, P.J. (1976), Kapazitaten statt Wahrscheinlichkeiten Gedanken zur Grundlegung der Statistik, Jber. Deutsch. Math.-Verein., 78, H.2, 81-92. Huber, P.J. (1977a), Robust covariances, In Statistical Decision Theory and Related Topics, II, S.S. Gupta and D.S. Moore, Eds, Academic Press, New York. Huber, P.J. (1977b), Robust Statistical Procedures, Regional Conference Series in Applied Mathematics No. 27, SIAM, Philadelphia. Huber, P.J. (1979), Robust smoothing, In Proceedings of ARO Workshop on Robustness in Statistics, April 11-12, 1978, R.L. Launer and G.N. Wilkinson, Eds, Academic Press, New York. Huber, P.J. (1983), Minimax Aspects of Bounded-Influence Regression, J. Amer. Statist. Assoc., 78, 66-80. Huber, P.J. (1984), Finite sample breakdown of M - and P-estimators, Ann. Statist., 12,119-126. Huber, P.J. (1989, Projection Pursuit, Ann. Statist., 13, 435-475. Huber, P.J. (2002), John W. Tukey s Contributions to Robust Statistics, Ann. Statist., 30, 1640-1648. Huber, P.J. (2009), On the Non-Optimality of Optimal Procedures, to be published in: Proc. Third E.L. Lehmann Symposium, J. Rojo, Ed. Huber, P.J., and R. Dutter (1974), Numerical solutions of robust regression problems, In COMPSTAT 1974, Proceedings in Computational Statistics, G. Bruckmann, Ed., Physika Verlag, Vienna. Huber, P.J., and V. Strassen (1973), Minimax tests and the Neyman-Pearson lemma for capacities, Ann. Statist., 1, 251-263; Correction (1974) 2, 223-224. Huber-Carol, C. (1970), Etude asymptotique de tests robustes, Ph.D. Dissertation, Eidgenossische Technische Hochschule, Zurich. Jaeckel, L.A. (1971a), Robust estimates of location: Symmetry and asymmetric contamination, Ann. Math. Statist., 42, 1020-1034. Jaeckel, L.A. (1971b), Some flexible estimates of location, Ann. Math. Statist., 42, 1540-1 552.

move pretty fast and I usually have the camera set to shoot in burst mode, giving me more than one chance at getting the shot I want.

(12.250)

(3.62)

For a deeper set of phone and voicemail related settings, head over to All Programs, Settings, Applications, and then Phone. You ll see a screen similar to that in Figure 13-24.

(12.289)

must be removed from thin- lm layers, either by rapid combustion or slow diffusion. Rapid combustion generates a high density of reactive surfaces, which leads to pinholes and voids that must be eliminated via hightemperature densi cation. Alternatively, the organic ligands may be removed by slow diffusion. Diffusion occurs most readily near the surface of the lm, creating a condensed layer of oxide that tends to encapsulate ligands at depths of greater than a few nm. Additional removal of organic groups can only occur through cracks and voids in the lm. So the required mass transport limits the quality of deposited lms, their deposition rates, or thickness per deposition cycle. In principle, high-quality lms could be deposited at a high rate if appropriate precursors were available. We have designed a class of aqueous inorganic precursors that exhibit chemical reactivities that are especially suitable for high-speed processing. Namely, the precursors described in the following sections undergo rapid condensation and they resist crystallization without the addition of organic ligands.

1.630 1.633 1.636 1.642 1.662 1.702 1.753 1.820 1.912

See the section De ning and Implementing User and Vendor Classes later in this chapter for detailed information on con guring and using vendor and user classes to customize lease properties for speci c systems and users.