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Huzurbazar, V S (1955) Exact forms of some invariants for distributions admitting suf cient statistics Biometrika, 42, 533 537 Huzurbazar, V S (1976) Suf cient Statistics New York: Marcel Dekker ISO 8402 International Standard: Quality Vocabulary, International Standards Organization Jaynes, E T (1980) Marginalization and prior probabilities In Bayesian Analysis in Econometrics and Statistics, ed A Zellner Amsterdam: North-Holland Jeffreys, H (1961) Theory of Probability, 3rd edition New York: Oxford University Press Jensen, J L (1995) Saddlepoint Approximations New York: Clarendon Press Johanssen, F (1907) Waiting times and number of calls Reprinted in Post Of ce Electrical Engineers Journal (London), October 1910 and January 1911, as cited by Kendall (1951) Johnson, N, Kotz, S, and Balakrishnan, N (1994) Continuous Univariate Distributions, Volumes 1 and 2, 2nd edition New York: Wiley Joly, P, and Commenges, D (1999).



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The DTD in Figure 515 defines that a P a c k a g e may either be empty or consist of a name, a visibility and, among other components, a sequence of o w n e d E l e m e n t s ..

Figure 8-3 A Polaroid sheet generates linearly polarized light. (a) Only rays whose E vectors vibrate in a plane parallel with the transmission axis of the sheet are transmitted as a linearly polarized beam; other rays are partially transmitted or blocked. (b) A second overlapping polar transmits light of the first polar if its transmission axis is parallel to that of the first polar. (c) Transmission is completely blocked if the transmission axes of the two polars are crossed.





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A penalized likelihood approach for a progressive three-state model with censored and truncated data: Application to AIDS Biometrics, 55, 887 890 Kalb eisch, J, and Prentice, R (1980) The Statistical Analysis of Failure Time Data New York: Wiley Kaplan, E, and Meier, P (1958) Nonparametric estimation from incomplete observations, Journal of the American Statistical Association, 53, 457 481 Karlin, S, and Taylor, H (1975) A First Course in Stochastic Processes New York: Academic Press Karlin, S, and Taylor, H (1981) A Second Course in Stochastic Processes New York: Academic Press Kass, R, and Wasserman, L (1996) The selection of prior distributions by formal rules Journal of the American Statistical Association, 91, 1343 1370 Kelley, A, and Pohl, I (1995) A Book on C: Programming in C, 4th edition Reading, MA: Addison-Wesley Kendall, D G (1951) Some problems in the theory of queues.

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1 Let n = p + i be the number of vertices and m be the number of edges of an HS Show that m = 5h + 1 i 2 Prove that maximal number of internal vertices of a HS, for xed area h, is the 2h + 1 12h 3 [30,37] Also, show that the perimeter of an HS satis es 2 12h 3 p 4h + 2 3 Prove that 0 h/3 and1/2(1 ( 1)i ) i [9] 4 Prove the following upper and lower bounds for the Dias parameter [9]: 12h 3 h 3 d h 2 5 Prove that 2h + 1 + 12h 3 n 4h + 2 [37] 6 Prove that 3 + 12h 3 s 2h + 4 [33] 12h 3 m 5h + 1 [30,37] 7 Prove that 3h + 8.

Journal of the Royal Statistical Society, Series B, 13, 151 185 Kendall, D G (1953) Stochastic processes occurring in the theory of queues and their analyses by the method of the imbedded Markov chain Annals of Mathematical Statistics, 24, 338 354 Klein, J, and Moeschberger, M (1997) Survival Analysis: Techniques for Censored and Truncated Data New York: Springer-Verlag Klein, J, and Shu, Y (2002) Multi-state models of bone marrow transplantation studies Statistical Methods for Medical Research, 11, 117 139 Klein, J, Keiding, N, and Copelan, E (1993) Plotting summary predictions in multistate survival models: probabilities of relapse and death in remission for bone marrow transplantation patients Statistics in Medicine, 12, 2315 2332 Klein, R, Klein, B, Moss S, Davis, M, and Demets, D (1984a) The Wisconsin Epidemiologic Study of Diabetic Retinopathy: II.

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