List of Figures

• 1-1 Oracle CEP Architecture
• 1-2 Stream in the Event Processing Network
• 1-3 Range and Slide
• 1-4 Event Sources and Event Sinks in the Event Processing Network
• 7-1 cern.jet.stat.Gamma beta
• 7-2 cern.jet.stat.Probability beta1
• 7-3 Definition of binomial coefficient
• 7-4 cern.jet.stat.Probability binomial2
• 7-5 cern.jet.stat.Probability binomialcomplemented
• 7-6 cern.jet.stat.Probability chisquare
• 7-7 cern.jet.stat.Probability errorfunction
• 7-8 cern.jet.stat.Probability errorfunctioncompelemented
• 7-9 cern.jet.stat.Probability gamma1
• 7-10 cern.jet.stat.Probability gammacomplemented
• 7-11 cern.jet.math.Arithmetic log
• 7-12 cern.jet.stat.Probability negativebinomial
• 7-13 cern.jet.stat.Probability negativebinomialcomplemented
• 7-14 cern.jet.stat.Probability normal
• 7-15 cern.jet.stat.Probability normal1
• 7-16 cern.jet.stat.Probability poisson
• 7-17 cern.jet.stat.Probability poissoncomplemented
• 7-18 cern.jet.math.Arithmetic stirlingcorrection
• 7-19 cern.jet.stat.Probability studentt
• 8-1 cern.jet.stat.Descriptive.covariance
• 8-2 cern.jet.stat.Descriptive.geometricMean(DoubleArrayList data)
• 8-3 cern.jet.stat.Descriptive.geometricMean1(int size, double sumOfLogarithms)
• 8-4 cern.jet.stat.Descriptive.kurtosis(DoubleArrayList data, double mean, double standardDeviation)
• 8-5 cern.jet.stat.Descriptive.mean(DoubleArrayList data)
• 8-6 cern.jet.stat.Descriptive.meanDeviation(DoubleArrayList data, double mean)
• 8-7 cern.jet.stat.Descriptive.moment(DoubleArrayList data, int k, double c)
• 8-8 cern.jet.stat.Descriptive.pooledMean(int size1, double mean1, int size2, double mean2)
• 8-9 cern.jet.stat.Descriptive.pooledVariance(int size1, double variance1, int size2, double variance2)
• 8-10 cern.jet.stat.Descriptive.product(DoubleArrayList data)
• 8-11 cern.jet.stat.Descriptive.rms(int size, double sumOfSquares)
• 8-12 cern.jet.stat.Descriptive.sampleVariance(DoubleArrayList data, double mean)
• 8-13 cern.jet.stat.Descriptive.skew(DoubleArrayList data, double mean, double standardDeviation)
• 8-14 cern.jet.stat.Descriptive.cern.jet.stat.Descriptive.standardError(int size, double variance)
• 8-15 cern.jet.stat.Descriptive.sumOfInversions(DoubleArrayList data, int from, int to)
• 8-16 cern.jet.stat.Descriptive.sumOfLogarithms(DoubleArrayList data, int from, int to)
• 8-17 cern.jet.stat.Descriptive.sumOfPowerDeviations(DoubleArrayList data, int k, double c)
• 8-18 cern.jet.stat.Descriptive.sumOfPowers(DoubleArrayList data, int k)
• 8-19 cern.jet.stat.Descriptive.sumOfSquaredDeviations(int size, double variance)
• 8-20 cern.jet.stat.Descriptive.sumOfSquares(DoubleArrayList data)
• 8-21 cern.jet.stat.Descriptive.variance(int size, double sum, double sumOfSquares)
• 8-22 cern.jet.stat.Descriptive.weightedMean(DoubleArrayList data, DoubleArrayList weights)
• 9-1 java.lang.Math Expm1
• 9-2 java.lang.Math hypot
• 14-1 Navigating to the Configuration Source of a Processor from the EPN Editor
• 14-2 Editing the Configuration Source for a Processor
• 15-1 Pattern Detection: Double Bottom Stock Fluctuations
• 15-2 Pattern Detection With Partition By: Stock Fluctuations
• 15-3 Fixed Duration Non-Event Detection