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Rubin, D B (1987a) A Noniterative Sampling/Importance Resampling Alternative to the Data Augmentation Algorithm for Creating a Few Imputations When Fractions of Missing Information Are Modest: The SIR Algorithm Discussion of Tanner & Wong (1987) Journal of the American Statistical Society 82, 543 46 Rubin, D B (1987b) Multiple Imputation for Nonresponse in Surveys New York: John Wiley & Sons Rubinstein, R Y (1981) Simulation and the Monte Carlo Method New York: John Wiley & Sons Ruggeri, F and Wasserman, L (1993) In nitesimal Sensitivity of Posterior Distributions Canadian Journal of Statistics 21, 195 203 Rukhin, A, Soto, J, Nechvatal, J, Smid, M, Barker, E, Leigh, S, Levenson, M, Vangel, M, Banks, D, Heckert, A, Dray, J, and Vo, S (2000) A Statistical Test Suite for Random and Pseudorandom Number Generators for Cryptographic Applications (revised May 15, 2001).

Since such uctuations cannot be determined a priori and occur on fast timescales, their contract traf c parameters bound the maximum duration and frequency of such in ation and de ation and the maximum bandwidth consumed during each period of peak operation These bounds are expressed by leaky buckets in the traf c contracts of the connections The network uses statistical models for the behaviour of such pipes to decide how many can be handled simultaneously These issues are investigated in 4, where we present a methodology for deriving effective bandwidths for such contracts Signalling is the most complex part of ATM It is common for network operators to disable ATM s full signalling or to use a simpler implementation It is common to use only permanent virtual circuits or virtual paths (bundles of virtual circuits), which are set by network management rather than by signalling on customer request.

NIST SP 800-22 Washington, DC: National Institute of Standards and Technology <http://csrcnistgov/rng/rng2html> Runkle, D E (1987) Vector Autoregressions and Reality Journal of Business and Economic Statistics 5, 437 42 Santner, T J and Duffy, D E (1986) A Note on A Albert and J A Anderson s Conditions for the Existence of Maximum Likelihood Estimates in Logistic Regression Models Biometrika 73, 755 58 SAS Institute (1999) SAS/STAT User s Guide, Version 8, Volume 2 Carey, NC: SAS Institute Schmidt, F L and Hunter, J E (1996) Measurement Error in Psychological Research: Lessons from 26 Research Scenarios Psychological Methods 1, 199 223 Schnabel, R B and Eskow, E (1990) A New Modi ed Cholesky Factorization SIAM Journal of Scienti c Statistical Computing 11, 1136 58 Schneeweiss, H (1976) Consistent Estimation of a Regression with Errors in the Variables Metrika 23, 101 17 Schneier, B (1994).

If selectivity is judged to be necessary, an operating time of the residual protection at the most equal to 1 second is admissible in distribution circuits. Note 3: in an IT system, when the exposed conductive parts are earthed individually or in groups, the TT system conditions given in Note 2 must be respected (see IEC 60364-4-41, section 413.1.5.3).

Applied Cryptography: Protocols, Algorithms, and Source Code in C New York: John Wiley & Sons Schumacher, M, Robner, R, and Vach, W (1996) Neural Networks and Logistic Regression Computational Statistics and Data Analysis 21, 661 701 Schwefel, H P (1977) Numerische Optimierung von Computer-Modellen mittels der Evolutionsstrategie Basel, Switzerland: Birkhauser Searle, S R (1971) Linear Models New York: Wiley & Sons Seber, G A F and Wild, C J (1989) Nonlinear Regression New York: John Wiley & Sons Sekhon, J S and Mebane, W, Jr (1998) Genetic Optimization Using Derivatives: Theory and Application to Nonlinear Models Political Analysis 7, 187 210 Selke, W, Talapov, A L, and Schur, L N (1993) Cluster-Flipping Monte Carlo Algorithm and Correlations in Good Random Number Generators JETP Letters 58, 665 68..

These connections remain in place for months or years They are mainly used to make permanent connections between the networks of an enterprise that has many physical locations, or to connect Internet routers (when Internet is run on top of ATM) This an example of a wholesale service in which bandwidth is sold in large contracts to large customers and other network operators (ISPs) ATM speci es ve native service classes for connections; they differ in respect to the traf c descriptors that are used to characterize the carried traf c and the QoS parameters guaranteed by the network This information is part of the contract for the particular service class These ve classes are as follows The rst three, CBR, VBR-RT and VBR-NRT, are guaranteed services with purely static parameters ABR has guarantees with both static and dynamic parameters, while UBR is purely best-effort.