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The Web is a disconnected infrastructure, whereas vital middleware services such as security and transactions are typically connection-oriented Electronic Date Interchange EDI EDI is a type of distributed system focusing on particular requirements from the business community These are typically agreed upon requirements for buying, selling, and trading between two or more trading partners These are often referred to as Business to business (B2B) requirements B2B requirements are technology-oriented solutions to traditional business challenges Much of the B2B focus has been to specify automated mechanisms for uniform business needs those that concern every business venture These are horizontal issues such as service and business level agreements, multi-party transactions (including rollback schemes), and reliable messaging EDI also addresses vertical market issues; de ning market-speci c vocabularies for industry-mandated semantics (insurance, commodity trading, etc.

) and electronic exchanges or marketplaces for consumers and producers to discover and interact one another in an adhoc fashion In this vertical context, EDI methods were developed to meet speci c governmental requirements for an industry such as aerospace or defense EDI.

and therefore EV 2 = var(V ). The variance of the score has a special signi cance. De nition The Fisher information J ( ) is the variance of the score: J ( ) = E

The coordinator will check the number of votes from the sites in its partition and it will decide if it can commit or abort the transaction The slaves in the other partition elect a new coordinator and count their votes as well With correct allocation of V, Vc, and Va, there is no way the two partitions can reach different quorums Let us apply this idea to the example discussed in Figure 818 Assume that each site is given one vote, making the total number of votes V = 5 Let s also assume that Va = 3 and Vc = 3 This satis es the requirement that Va + Vc> V In the partitioned network, if all computers in the right partition vote for commit, they have three votes to commit and have reached the commit quorum and will commit the transaction.

condition in which the two measures are sampled from the identical distributions (ie, the null hypothesis and the equal variance assumption are met), the hypothesis testing decision was made for SSD based on = 05 Then the proportion of erroneous decisions (ie, Type I error rate) was evaluated First, conditions in which X1 and X2 had the same standard deviations, but different means, are considered (see Figure 342a) These are cases where X1 and X2 were sampled from the same shape of distributions, but the locations of the distributions varied The results of the simulation for these cases are displayed in Figure 343 As depicted in the figure, SRMSD increases gradually with the increase in the two measures mean difference This tendency was consistent for all levels of correlation between X1 and X2.

Also, SRMSD was larger with lower correlation between X1 and X2; however, the difference was smaller when the mean difference was larger Second, conditions in which X1 and X2 share the same mean but differ in standard deviations are considered (see Figure 342b) These are cases where X1 and X2 were sampled from different shapes of distributions, but the locations of the distributions were identical The results of the simulation for these conditions are graphed in Figure 344 As the figure illustrates, when standard deviations for X2 exceeded 15, SRMSD increased in magnitude This tendency was consistent for all levels of the correlation between X1 and X2 However, when the standard deviation for X2 decreased less than 15, the results were somewhat mixed For r = 90, SRMSD for SD = 10 was higher than for SD = 15 However, SRMSD decreased slightly for r = 70 and .

50 with SD = 10 When the standard deviation for X2 was 5 and r = 50, SRMSD was almost identical to the one for SD = 10 However, SRMSD increased for r = 90, and 70 This result indicates the fact that any deviation from the first measure contributes to the increment of SRMSD Finally, Figure 345 displays results from other conditions, in which both the mean and the standard deviations were different for X1 and X2, as well as the correlation between them (see Figure 342c) In general, as the mean difference increased and the correlation between X1 and X2 decreased, SRMSD increased One important fact is that the mean of SRMSD is 1.

00 when the two measures have the same mean and standard deviation values, and they correlate similarly to the magnitude of the reliability coefficient (the condition with mean difference = 0, r = 90, and SD = 15) The amount of discrepancy between the two measures is expected to be the same as the measurement error when two measures are.