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java.lang.Objectpal.statistics.DiscreteStatistics
public class DiscreteStatistics
simple discrete statistics (mean, variance, cumulative probability, quantiles etc.)
Constructor Summary | |
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DiscreteStatistics()
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Method Summary | |
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static double |
cdf(double z,
double[] x)
compute the cumulative probability Pr(x <= z) for a given z and a distribution of x |
static double |
cdf(double z,
double[] x,
int[] indices)
compute the cumulative probability Pr(x <= z) for a given z and a distribution of x |
static double |
mean(double[] x)
compute mean |
static double |
quantile(double q,
double[] x)
compute the q-th quantile for a distribution of x (= inverse cdf) |
static double |
quantile(double q,
double[] x,
int[] indices)
compute the q-th quantile for a distribution of x (= inverse cdf) |
static double |
skewness(double[] x)
compute fisher skewness |
static double |
stdev(double[] x)
compute standard deviation |
static double |
variance(double[] x)
compute variance (ML estimator) |
static double |
variance(double[] x,
double mean)
compute variance (ML estimator) |
static double |
varianceSampleMean(double[] x)
compute variance of sample mean (ML estimator) |
static double |
varianceSampleMean(double[] x,
double mean)
compute variance of sample mean (ML estimator) |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public DiscreteStatistics()
Method Detail |
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public static double mean(double[] x)
x
- list of numbers
public static double variance(double[] x, double mean)
x
- list of numbersmean
- assumed mean of x
public static double skewness(double[] x)
x
- list of numbers
public static double stdev(double[] x)
x
- list of numbers
public static double variance(double[] x)
x
- list of numbers
public static double varianceSampleMean(double[] x, double mean)
x
- list of numbersmean
- assumed mean of x
public static double varianceSampleMean(double[] x)
x
- list of numbers
public static double quantile(double q, double[] x, int[] indices)
q
- quantile (0 < q <= 1)x
- discrete distribution (an unordered list of numbers)indices
- index sorting x
public static double quantile(double q, double[] x)
q
- quantile (0 <= q <= 1)x
- discrete distribution (an unordered list of numbers)
public static double cdf(double z, double[] x, int[] indices)
z
- threshold valuex
- discrete distribution (an unordered list of numbers)indices
- index sorting x
public static double cdf(double z, double[] x)
z
- threshold valuex
- discrete distribution (an unordered list of numbers)
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