Skip navigation links
A B C D E F G H I J K L M N O P R S T U V W 

L

largestInterval() - Method in class bham.leakiest.Observations
Find the largest confidence interval.
loadData(String) - Method in class bham.leakiest.ContinuousData
Reads an observation (-o2 format) file.
log(double, int) - Static method in class bham.leakiest.infotheory.InfoTheory
Calculates the logarithm of input x w.r.t any base.
log2(double) - Static method in class bham.leakiest.infotheory.InfoTheory
Calculates the logarithm of input x w.r.t base 2.
log2Multi(double, double) - Static method in class bham.leakiest.infotheory.InfoTheory
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
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
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.
A B C D E F G H I J K L M N O P R S T U V W 
Skip navigation links