- largestInterval() - Method in class bham.leakiest.Observations
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Find the largest confidence interval.
- loadData(String) - Method in class bham.leakiest.ContinuousData
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Reads an observation (-o2 format) file.
- log(double, int) - Static method in class bham.leakiest.infotheory.InfoTheory
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Calculates the logarithm of input x w.r.t any base.
- log2(double) - Static method in class bham.leakiest.infotheory.InfoTheory
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Calculates the logarithm of input x w.r.t base 2.
- log2Multi(double, double) - Static method in class bham.leakiest.infotheory.InfoTheory
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Calculates the logarithm of input x w.r.t base 2,
multiplied by y, where 0 log 0 = 0.
- logMulti(double, int, double) - Static method in class bham.leakiest.infotheory.InfoTheory
-
Calculates the logarithm of input x w.r.t any base,
multiplied by y, where 0 log 0 = 0.
- lowerBoundNormal95() - Method in class bham.leakiest.BinomialDist
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Calculates the lower bound for a 95% confidence interval
i.e., the value above which 97.5% of sample take,
by normal approximation.
- lowerBoundNormal95(double, double) - Static method in class bham.leakiest.Stats
-
Calculates the lower bound for a 95% confidence interval
for a normal distribution with given mean and variance
i.e., the value above which 97.5% of sample take.
- lowerBoundNormal95Lower() - Method in class bham.leakiest.BinomialDist
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Calculates the lower bound for a 95% confidence interval, upper only
i.e., the value above which 95% of sample take,
by normal approximation.
- lowerBoundNormal95Lower(double, double) - Static method in class bham.leakiest.Stats
-
Calculates the lower bound for a 95% confidence interval
for a normal distribution with given mean and variance, upper only
i.e., the value above which 95% of sample take.