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In the case of a normal distribution, the formula for calculating the con dence interval [p1 ; p2 ] of the mean (assuming the standard deviation is known) is: p p u1 =2 = n; x u1 =2 = n x 9:47 where x is the estimated empirical value mean using (9.44), u1 =2 the 1 =2 quantile of N 0; 1 and n the sample size. When is unknown it must be estimated using (9.45) and, in this case, the Student tdistribution rather than the normal distribution should be used. The formula for computing the con dence interval for when is estimated is: p p tn 1;1 =2 s= n; x tn 1;1 =2 s= n x 9:48 when tn 1;1 =2 is the quantile 1 =2 of the Student t-distribution, it depends on the degrees of freedom n 1 and the requisite level of con dence 1 . Moreover, tn; : tn; tn;1 . As the values of a Student t-distribution are larger than those of a Gaussian distribution, the con dence interval when is estimated are wider than con dence intervals when is known. Once the distribution and all its parameters are known, we will be able to properly visualise and analyse the data in terms of, say, the respect of certain thresholds or the trend over a certain time span. Di erent spatial or temporal data aggregation techniques can also be used to single out weird phenomena and raise speci c performance alarms against an expected reference level.

Brian Gunney and Craig Kapfer made numerous signi cant contributions to the codes and algorithms described. Stevens Chan and David Stevens were instrumental in assisting us with the FEM3MP code. The authors gratefully acknowledge the many useful discussions with the SAMRAI development team. The lead author resided at Lawrence Livermore National Laboratory during the development of the work described. LLNL authors performed this work under the auspices of the U.S. Department of Energy by the University of California Lawrence Livermore National Laboratory under Contract No. W-7405-Eng-48 and Report No. UCRL-MI-223156. The work of Marsha Berger was supported in part by AFOSR grant F49620-000099 and DOE grants DE-FG02-00ER25053 and DE-FC02-01ER25472.

Figure 30-10: Renaming a file, once called newblank.html, in the Files tab. The file on the server does not change to correspond.

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RAID-5

Figure 6.4: Averaged aggregated rate vs. SNR. K=64, T U channel and the traffic channel configurations are: C1={(16, l)},Cz={(l6, 2)}, C3={(16, 4)},

45 series 46 series 47 series (none exists) 48 series 49 series 50 series 51 series 52 series 13 series (1) (2) (2) 55 series

where J0 is a zero-order Bessel function, and K L / A=l for a vibration amplitude A and illumination wavelength l. Note that this result is independent of the vibration excitation frequency. The time-average secondary interference fringes for a sinusoidal vibration become I I0 gJ0 2 16:41

Part IV: Implementing Databases (with Examples in Access and MySQL)

4 4

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