Index (Apache Commons Statistics Descriptive 1.1 API)

A B C D E G H I K L M N O P Q S V W
All Classes All Packages

A

accept(double) - Method in class org.apache.commons.statistics.descriptive.DoubleStatistics: Updates the state of the statistics to reflect the addition of value.
accept(double) - Method in class org.apache.commons.statistics.descriptive.GeometricMean: Updates the state of the statistic to reflect the addition of value.
accept(double) - Method in class org.apache.commons.statistics.descriptive.Kurtosis: Updates the state of the statistic to reflect the addition of value.
accept(double) - Method in class org.apache.commons.statistics.descriptive.Max: Updates the state of the statistic to reflect the addition of value.
accept(double) - Method in class org.apache.commons.statistics.descriptive.Mean: Updates the state of the statistic to reflect the addition of value.
accept(double) - Method in class org.apache.commons.statistics.descriptive.Min: Updates the state of the statistic to reflect the addition of value.
accept(double) - Method in class org.apache.commons.statistics.descriptive.Product: Updates the state of the statistic to reflect the addition of value.
accept(double) - Method in class org.apache.commons.statistics.descriptive.Skewness: Updates the state of the statistic to reflect the addition of value.
accept(double) - Method in class org.apache.commons.statistics.descriptive.StandardDeviation: Updates the state of the statistic to reflect the addition of value.
accept(double) - Method in class org.apache.commons.statistics.descriptive.Sum: Updates the state of the statistic to reflect the addition of value.
accept(double) - Method in class org.apache.commons.statistics.descriptive.SumOfLogs: Updates the state of the statistic to reflect the addition of value.
accept(double) - Method in class org.apache.commons.statistics.descriptive.SumOfSquares: Updates the state of the statistic to reflect the addition of value.
accept(double) - Method in class org.apache.commons.statistics.descriptive.Variance: Updates the state of the statistic to reflect the addition of value.
accept(int) - Method in class org.apache.commons.statistics.descriptive.IntMax: Updates the state of the statistic to reflect the addition of value.
accept(int) - Method in class org.apache.commons.statistics.descriptive.IntMean: Updates the state of the statistic to reflect the addition of value.
accept(int) - Method in class org.apache.commons.statistics.descriptive.IntMin: Updates the state of the statistic to reflect the addition of value.
accept(int) - Method in class org.apache.commons.statistics.descriptive.IntStandardDeviation: Updates the state of the statistic to reflect the addition of value.
accept(int) - Method in class org.apache.commons.statistics.descriptive.IntStatistics: Updates the state of the statistics to reflect the addition of value.
accept(int) - Method in class org.apache.commons.statistics.descriptive.IntSum: Updates the state of the statistic to reflect the addition of value.
accept(int) - Method in class org.apache.commons.statistics.descriptive.IntSumOfSquares: Updates the state of the statistic to reflect the addition of value.
accept(int) - Method in class org.apache.commons.statistics.descriptive.IntVariance: Updates the state of the statistic to reflect the addition of value.
accept(long) - Method in class org.apache.commons.statistics.descriptive.LongMax: Updates the state of the statistic to reflect the addition of value.
accept(long) - Method in class org.apache.commons.statistics.descriptive.LongMean: Updates the state of the statistic to reflect the addition of value.
accept(long) - Method in class org.apache.commons.statistics.descriptive.LongMin: Updates the state of the statistic to reflect the addition of value.
accept(long) - Method in class org.apache.commons.statistics.descriptive.LongStandardDeviation: Updates the state of the statistic to reflect the addition of value.
accept(long) - Method in class org.apache.commons.statistics.descriptive.LongStatistics: Updates the state of the statistics to reflect the addition of value.
accept(long) - Method in class org.apache.commons.statistics.descriptive.LongSum: Updates the state of the statistic to reflect the addition of value.
accept(long) - Method in class org.apache.commons.statistics.descriptive.LongSumOfSquares: Updates the state of the statistic to reflect the addition of value.
accept(long) - Method in class org.apache.commons.statistics.descriptive.LongVariance: Updates the state of the statistic to reflect the addition of value.

B

build() - Method in class org.apache.commons.statistics.descriptive.DoubleStatistics.Builder: Builds a DoubleStatistics instance.
build() - Method in class org.apache.commons.statistics.descriptive.IntStatistics.Builder: Builds a IntStatistics instance.
build() - Method in class org.apache.commons.statistics.descriptive.LongStatistics.Builder: Builds a LongStatistics instance.
build(double...) - Method in class org.apache.commons.statistics.descriptive.DoubleStatistics.Builder: Builds a DoubleStatistics instance using the input values.
build(int...) - Method in class org.apache.commons.statistics.descriptive.IntStatistics.Builder: Builds a IntStatistics instance using the input values.
build(long...) - Method in class org.apache.commons.statistics.descriptive.LongStatistics.Builder: Builds a LongStatistics instance using the input values.
builder(Statistic...) - Static method in class org.apache.commons.statistics.descriptive.DoubleStatistics: Returns a new builder configured to create instances to compute the specified statistics.
builder(Statistic...) - Static method in class org.apache.commons.statistics.descriptive.IntStatistics: Returns a new builder configured to create instances to compute the specified statistics.
builder(Statistic...) - Static method in class org.apache.commons.statistics.descriptive.LongStatistics: Returns a new builder configured to create instances to compute the specified statistics.

C

combine(DoubleStatistics) - Method in class org.apache.commons.statistics.descriptive.DoubleStatistics: Combines the state of the other statistics into this one.
combine(GeometricMean) - Method in class org.apache.commons.statistics.descriptive.GeometricMean
combine(IntMax) - Method in class org.apache.commons.statistics.descriptive.IntMax
combine(IntMean) - Method in class org.apache.commons.statistics.descriptive.IntMean
combine(IntMin) - Method in class org.apache.commons.statistics.descriptive.IntMin
combine(IntStandardDeviation) - Method in class org.apache.commons.statistics.descriptive.IntStandardDeviation
combine(IntStatistics) - Method in class org.apache.commons.statistics.descriptive.IntStatistics: Combines the state of the other statistics into this one.
combine(IntSum) - Method in class org.apache.commons.statistics.descriptive.IntSum
combine(IntSumOfSquares) - Method in class org.apache.commons.statistics.descriptive.IntSumOfSquares
combine(IntVariance) - Method in class org.apache.commons.statistics.descriptive.IntVariance
combine(Kurtosis) - Method in class org.apache.commons.statistics.descriptive.Kurtosis
combine(LongMax) - Method in class org.apache.commons.statistics.descriptive.LongMax
combine(LongMean) - Method in class org.apache.commons.statistics.descriptive.LongMean
combine(LongMin) - Method in class org.apache.commons.statistics.descriptive.LongMin
combine(LongStandardDeviation) - Method in class org.apache.commons.statistics.descriptive.LongStandardDeviation
combine(LongStatistics) - Method in class org.apache.commons.statistics.descriptive.LongStatistics: Combines the state of the other statistics into this one.
combine(LongSum) - Method in class org.apache.commons.statistics.descriptive.LongSum
combine(LongSumOfSquares) - Method in class org.apache.commons.statistics.descriptive.LongSumOfSquares
combine(LongVariance) - Method in class org.apache.commons.statistics.descriptive.LongVariance
combine(Max) - Method in class org.apache.commons.statistics.descriptive.Max
combine(Mean) - Method in class org.apache.commons.statistics.descriptive.Mean
combine(Min) - Method in class org.apache.commons.statistics.descriptive.Min
combine(Product) - Method in class org.apache.commons.statistics.descriptive.Product
combine(Skewness) - Method in class org.apache.commons.statistics.descriptive.Skewness
combine(StandardDeviation) - Method in class org.apache.commons.statistics.descriptive.StandardDeviation
combine(Sum) - Method in class org.apache.commons.statistics.descriptive.Sum
combine(SumOfLogs) - Method in class org.apache.commons.statistics.descriptive.SumOfLogs
combine(SumOfSquares) - Method in class org.apache.commons.statistics.descriptive.SumOfSquares
combine(Variance) - Method in class org.apache.commons.statistics.descriptive.Variance
combine(T) - Method in interface org.apache.commons.statistics.descriptive.StatisticAccumulator: Combines the state of the other statistic into this one.
create() - Static method in class org.apache.commons.statistics.descriptive.GeometricMean: Creates an instance.
create() - Static method in class org.apache.commons.statistics.descriptive.IntMax: Creates an instance.
create() - Static method in class org.apache.commons.statistics.descriptive.IntMean: Creates an instance.
create() - Static method in class org.apache.commons.statistics.descriptive.IntMin: Creates an instance.
create() - Static method in class org.apache.commons.statistics.descriptive.IntStandardDeviation: Creates an instance.
create() - Static method in class org.apache.commons.statistics.descriptive.IntSum: Creates an instance.
create() - Static method in class org.apache.commons.statistics.descriptive.IntSumOfSquares: Creates an instance.
create() - Static method in class org.apache.commons.statistics.descriptive.IntVariance: Creates an instance.
create() - Static method in class org.apache.commons.statistics.descriptive.Kurtosis: Creates an instance.
create() - Static method in class org.apache.commons.statistics.descriptive.LongMax: Creates an instance.
create() - Static method in class org.apache.commons.statistics.descriptive.LongMean: Creates an instance.
create() - Static method in class org.apache.commons.statistics.descriptive.LongMin: Creates an instance.
create() - Static method in class org.apache.commons.statistics.descriptive.LongStandardDeviation: Creates an instance.
create() - Static method in class org.apache.commons.statistics.descriptive.LongSum: Creates an instance.
create() - Static method in class org.apache.commons.statistics.descriptive.LongSumOfSquares: Creates an instance.
create() - Static method in class org.apache.commons.statistics.descriptive.LongVariance: Creates an instance.
create() - Static method in class org.apache.commons.statistics.descriptive.Max: Creates an instance.
create() - Static method in class org.apache.commons.statistics.descriptive.Mean: Creates an instance.
create() - Static method in class org.apache.commons.statistics.descriptive.Min: Creates an instance.
create() - Static method in class org.apache.commons.statistics.descriptive.Product: Creates an instance.
create() - Static method in class org.apache.commons.statistics.descriptive.Skewness: Creates an instance.
create() - Static method in class org.apache.commons.statistics.descriptive.StandardDeviation: Creates an instance.
create() - Static method in class org.apache.commons.statistics.descriptive.Sum: Creates an instance.
create() - Static method in class org.apache.commons.statistics.descriptive.SumOfLogs: Creates an instance.
create() - Static method in class org.apache.commons.statistics.descriptive.SumOfSquares: Creates an instance.
create() - Static method in class org.apache.commons.statistics.descriptive.Variance: Creates an instance.

D

DoubleStatistic - Interface in org.apache.commons.statistics.descriptive: Represents a state object for computing a statistic over double valued input(s).
DoubleStatistics - Class in org.apache.commons.statistics.descriptive: Statistics for double values.
DoubleStatistics.Builder - Class in org.apache.commons.statistics.descriptive: A builder for DoubleStatistics.

E

ERROR - org.apache.commons.statistics.descriptive.NaNPolicy: NaNs result in an exception.
evaluate(double[]) - Method in class org.apache.commons.statistics.descriptive.Median: Evaluate the median.
evaluate(double[], double) - Method in class org.apache.commons.statistics.descriptive.Quantile: Evaluate the p-th quantile of the values.
evaluate(double[], double...) - Method in class org.apache.commons.statistics.descriptive.Quantile: Evaluate the p-th quantiles of the values.
evaluate(int[]) - Method in class org.apache.commons.statistics.descriptive.Median: Evaluate the median.
evaluate(int[], double) - Method in class org.apache.commons.statistics.descriptive.Quantile: Evaluate the p-th quantile of the values.
evaluate(int[], double...) - Method in class org.apache.commons.statistics.descriptive.Quantile: Evaluate the p-th quantiles of the values.
evaluate(int, IntToDoubleFunction, double) - Method in class org.apache.commons.statistics.descriptive.Quantile: Evaluate the p-th quantile of the values.
evaluate(int, IntToDoubleFunction, double...) - Method in class org.apache.commons.statistics.descriptive.Quantile: Evaluate the p-th quantiles of the values.
EXCLUDE - org.apache.commons.statistics.descriptive.NaNPolicy: NaNs are excluded from the data.

G

GEOMETRIC_MEAN - org.apache.commons.statistics.descriptive.Statistic: Geometric mean.
GeometricMean - Class in org.apache.commons.statistics.descriptive: Computes the geometric mean of the available values.
getAsBigInteger() - Method in class org.apache.commons.statistics.descriptive.IntMax
getAsBigInteger() - Method in class org.apache.commons.statistics.descriptive.IntMin
getAsBigInteger() - Method in class org.apache.commons.statistics.descriptive.IntSum: Gets the sum of all input values.
getAsBigInteger() - Method in class org.apache.commons.statistics.descriptive.IntSumOfSquares: Gets the sum of squares of all input values.
getAsBigInteger() - Method in class org.apache.commons.statistics.descriptive.LongMax
getAsBigInteger() - Method in class org.apache.commons.statistics.descriptive.LongMin
getAsBigInteger() - Method in class org.apache.commons.statistics.descriptive.LongSum: Gets the sum of all input values.
getAsBigInteger() - Method in class org.apache.commons.statistics.descriptive.LongSumOfSquares: Gets the sum of squares of all input values.
getAsBigInteger() - Method in interface org.apache.commons.statistics.descriptive.StatisticResult: Gets a result as a BigInteger.
getAsBigInteger(Statistic) - Method in class org.apache.commons.statistics.descriptive.IntStatistics: Gets the value of the specified statistic as a BigInteger.
getAsBigInteger(Statistic) - Method in class org.apache.commons.statistics.descriptive.LongStatistics: Gets the value of the specified statistic as a BigInteger.
getAsDouble() - Method in class org.apache.commons.statistics.descriptive.GeometricMean: Gets the geometric mean of all input values.
getAsDouble() - Method in class org.apache.commons.statistics.descriptive.IntMax
getAsDouble() - Method in class org.apache.commons.statistics.descriptive.IntMean: Gets the mean of all input values.
getAsDouble() - Method in class org.apache.commons.statistics.descriptive.IntMin
getAsDouble() - Method in class org.apache.commons.statistics.descriptive.IntStandardDeviation: Gets the standard deviation of all input values.
getAsDouble() - Method in class org.apache.commons.statistics.descriptive.IntSum: Gets the sum of all input values.
getAsDouble() - Method in class org.apache.commons.statistics.descriptive.IntSumOfSquares: Gets the sum of squares of all input values.
getAsDouble() - Method in class org.apache.commons.statistics.descriptive.IntVariance: Gets the variance of all input values.
getAsDouble() - Method in class org.apache.commons.statistics.descriptive.Kurtosis: Gets the kurtosis of all input values.
getAsDouble() - Method in class org.apache.commons.statistics.descriptive.LongMax
getAsDouble() - Method in class org.apache.commons.statistics.descriptive.LongMean: Gets the mean of all input values.
getAsDouble() - Method in class org.apache.commons.statistics.descriptive.LongMin
getAsDouble() - Method in class org.apache.commons.statistics.descriptive.LongStandardDeviation: Gets the standard deviation of all input values.
getAsDouble() - Method in class org.apache.commons.statistics.descriptive.LongSum: Gets the sum of all input values.
getAsDouble() - Method in class org.apache.commons.statistics.descriptive.LongSumOfSquares: Gets the sum of squares of all input values.
getAsDouble() - Method in class org.apache.commons.statistics.descriptive.LongVariance: Gets the variance of all input values.
getAsDouble() - Method in class org.apache.commons.statistics.descriptive.Max: Gets the maximum of all input values.
getAsDouble() - Method in class org.apache.commons.statistics.descriptive.Mean: Gets the mean of all input values.
getAsDouble() - Method in class org.apache.commons.statistics.descriptive.Min: Gets the minimum of all input values.
getAsDouble() - Method in class org.apache.commons.statistics.descriptive.Product: Gets the product of all input values.
getAsDouble() - Method in class org.apache.commons.statistics.descriptive.Skewness: Gets the skewness of all input values.
getAsDouble() - Method in class org.apache.commons.statistics.descriptive.StandardDeviation: Gets the standard deviation of all input values.
getAsDouble() - Method in class org.apache.commons.statistics.descriptive.Sum: Gets the sum of all input values.
getAsDouble() - Method in class org.apache.commons.statistics.descriptive.SumOfLogs: Gets the sum of all input values.
getAsDouble() - Method in class org.apache.commons.statistics.descriptive.SumOfSquares: Gets the sum of squares of all input values.
getAsDouble() - Method in class org.apache.commons.statistics.descriptive.Variance: Gets the variance of all input values.
getAsDouble(Statistic) - Method in class org.apache.commons.statistics.descriptive.DoubleStatistics: Gets the value of the specified statistic as a double.
getAsDouble(Statistic) - Method in class org.apache.commons.statistics.descriptive.IntStatistics: Gets the value of the specified statistic as a double.
getAsDouble(Statistic) - Method in class org.apache.commons.statistics.descriptive.LongStatistics: Gets the value of the specified statistic as a double.
getAsInt() - Method in class org.apache.commons.statistics.descriptive.IntMax: Gets the maximum of all input values.
getAsInt() - Method in class org.apache.commons.statistics.descriptive.IntMin: Gets the minimum of all input values.
getAsInt() - Method in class org.apache.commons.statistics.descriptive.IntSum: Gets the sum of all input values.
getAsInt() - Method in class org.apache.commons.statistics.descriptive.IntSumOfSquares: Gets the sum of squares of all input values.
getAsInt() - Method in class org.apache.commons.statistics.descriptive.LongMax: Gets the maximum of all input values.
getAsInt() - Method in class org.apache.commons.statistics.descriptive.LongMin: Gets the minimum of all input values.
getAsInt() - Method in class org.apache.commons.statistics.descriptive.LongSum: Gets the sum of all input values.
getAsInt() - Method in class org.apache.commons.statistics.descriptive.LongSumOfSquares: Gets the sum of squares of all input values.
getAsInt() - Method in interface org.apache.commons.statistics.descriptive.StatisticResult
getAsInt(Statistic) - Method in class org.apache.commons.statistics.descriptive.IntStatistics: Gets the value of the specified statistic as an int.
getAsLong() - Method in class org.apache.commons.statistics.descriptive.IntMax
getAsLong() - Method in class org.apache.commons.statistics.descriptive.IntMin
getAsLong() - Method in class org.apache.commons.statistics.descriptive.IntSum: Gets the sum of all input values.
getAsLong() - Method in class org.apache.commons.statistics.descriptive.IntSumOfSquares: Gets the sum of squares of all input values.
getAsLong() - Method in class org.apache.commons.statistics.descriptive.LongMax: Gets the maximum of all input values.
getAsLong() - Method in class org.apache.commons.statistics.descriptive.LongMin: Gets the minimum of all input values.
getAsLong() - Method in class org.apache.commons.statistics.descriptive.LongSum: Gets the sum of all input values.
getAsLong() - Method in class org.apache.commons.statistics.descriptive.LongSumOfSquares: Gets the sum of squares of all input values.
getAsLong() - Method in interface org.apache.commons.statistics.descriptive.StatisticResult
getAsLong(Statistic) - Method in class org.apache.commons.statistics.descriptive.IntStatistics: Gets the value of the specified statistic as a long.
getAsLong(Statistic) - Method in class org.apache.commons.statistics.descriptive.LongStatistics: Gets the value of the specified statistic as a long.
getCount() - Method in class org.apache.commons.statistics.descriptive.DoubleStatistics: Return the count of values recorded.
getCount() - Method in class org.apache.commons.statistics.descriptive.IntStatistics: Return the count of values recorded.
getCount() - Method in class org.apache.commons.statistics.descriptive.LongStatistics: Return the count of values recorded.
getResult(Statistic) - Method in class org.apache.commons.statistics.descriptive.DoubleStatistics: Gets a supplier for the value of the specified statistic.
getResult(Statistic) - Method in class org.apache.commons.statistics.descriptive.IntStatistics: Gets a supplier for the value of the specified statistic.
getResult(Statistic) - Method in class org.apache.commons.statistics.descriptive.LongStatistics: Gets a supplier for the value of the specified statistic.

H

HF1 - org.apache.commons.statistics.descriptive.Quantile.EstimationMethod: Inverse of the empirical distribution function.
HF2 - org.apache.commons.statistics.descriptive.Quantile.EstimationMethod: Similar to Quantile.EstimationMethod.HF1 with averaging at discontinuities.
HF3 - org.apache.commons.statistics.descriptive.Quantile.EstimationMethod: The observation closest to \( np \).
HF4 - org.apache.commons.statistics.descriptive.Quantile.EstimationMethod: Linear interpolation of the inverse of the empirical CDF.
HF5 - org.apache.commons.statistics.descriptive.Quantile.EstimationMethod: A piecewise linear function where the knots are the values midway through the steps of the empirical CDF.
HF6 - org.apache.commons.statistics.descriptive.Quantile.EstimationMethod: Linear interpolation of the expectations for the order statistics for the uniform distribution on [0,1].
HF7 - org.apache.commons.statistics.descriptive.Quantile.EstimationMethod: Linear interpolation of the modes for the order statistics for the uniform distribution on [0,1].
HF8 - org.apache.commons.statistics.descriptive.Quantile.EstimationMethod: Linear interpolation of the approximate medians for order statistics.
HF9 - org.apache.commons.statistics.descriptive.Quantile.EstimationMethod: Quantile estimates are approximately unbiased for the expected order statistics if \( x \) is normally distributed.

I

INCLUDE - org.apache.commons.statistics.descriptive.NaNPolicy: NaNs are included in the data.
IntMax - Class in org.apache.commons.statistics.descriptive: Returns the maximum of the available values.
IntMean - Class in org.apache.commons.statistics.descriptive: Computes the arithmetic mean of the available values.
IntMin - Class in org.apache.commons.statistics.descriptive: Returns the minimum of the available values.
IntStandardDeviation - Class in org.apache.commons.statistics.descriptive: Computes the standard deviation of the available values.
IntStatistic - Interface in org.apache.commons.statistics.descriptive: Represents a state object for computing a statistic over int valued input(s).
IntStatistics - Class in org.apache.commons.statistics.descriptive: Statistics for int values.
IntStatistics.Builder - Class in org.apache.commons.statistics.descriptive: A builder for IntStatistics.
IntSum - Class in org.apache.commons.statistics.descriptive: Returns the sum of the available values.
IntSumOfSquares - Class in org.apache.commons.statistics.descriptive: Returns the sum of the squares of the available values.
IntVariance - Class in org.apache.commons.statistics.descriptive: Computes the variance of the available values.
isBiased() - Method in class org.apache.commons.statistics.descriptive.StatisticsConfiguration: Checks if the calculation of the statistic is biased.
isSupported(Statistic) - Method in class org.apache.commons.statistics.descriptive.DoubleStatistics: Check if the specified statistic is supported.
isSupported(Statistic) - Method in class org.apache.commons.statistics.descriptive.IntStatistics: Check if the specified statistic is supported.
isSupported(Statistic) - Method in class org.apache.commons.statistics.descriptive.LongStatistics: Check if the specified statistic is supported.

K

Kurtosis - Class in org.apache.commons.statistics.descriptive: Computes the kurtosis of the available values.
KURTOSIS - org.apache.commons.statistics.descriptive.Statistic: Kurtosis.

L

LongMax - Class in org.apache.commons.statistics.descriptive: Returns the maximum of the available values.
LongMean - Class in org.apache.commons.statistics.descriptive: Computes the arithmetic mean of the available values.
LongMin - Class in org.apache.commons.statistics.descriptive: Returns the minimum of the available values.
LongStandardDeviation - Class in org.apache.commons.statistics.descriptive: Computes the standard deviation of the available values.
LongStatistic - Interface in org.apache.commons.statistics.descriptive: Represents a state object for computing a statistic over long valued input(s).
LongStatistics - Class in org.apache.commons.statistics.descriptive: Statistics for long values.
LongStatistics.Builder - Class in org.apache.commons.statistics.descriptive: A builder for LongStatistics.
LongSum - Class in org.apache.commons.statistics.descriptive: Returns the sum of the available values.
LongSumOfSquares - Class in org.apache.commons.statistics.descriptive: Returns the sum of the squares of the available values.
LongVariance - Class in org.apache.commons.statistics.descriptive: Computes the variance of the available values.

M

Max - Class in org.apache.commons.statistics.descriptive: Returns the maximum of the available values.
MAX - org.apache.commons.statistics.descriptive.Statistic: Maximum.
Mean - Class in org.apache.commons.statistics.descriptive: Computes the arithmetic mean of the available values.
MEAN - org.apache.commons.statistics.descriptive.Statistic: Mean, or average.
Median - Class in org.apache.commons.statistics.descriptive: Returns the median of the available values.
Min - Class in org.apache.commons.statistics.descriptive: Returns the minimum of the available values.
MIN - org.apache.commons.statistics.descriptive.Statistic: Minimum.

N

NaNPolicy - Enum in org.apache.commons.statistics.descriptive: Defines the policy for NaN values found in data.

O

of(double...) - Static method in class org.apache.commons.statistics.descriptive.GeometricMean: Returns an instance populated using the input values.
of(double...) - Static method in class org.apache.commons.statistics.descriptive.Kurtosis: Returns an instance populated using the input values.
of(double...) - Static method in class org.apache.commons.statistics.descriptive.Max: Returns an instance populated using the input values.
of(double...) - Static method in class org.apache.commons.statistics.descriptive.Mean: Returns an instance populated using the input values.
of(double...) - Static method in class org.apache.commons.statistics.descriptive.Min: Returns an instance populated using the input values.
of(double...) - Static method in class org.apache.commons.statistics.descriptive.Product: Returns an instance populated using the input values.
of(double...) - Static method in class org.apache.commons.statistics.descriptive.Skewness: Returns an instance populated using the input values.
of(double...) - Static method in class org.apache.commons.statistics.descriptive.StandardDeviation: Returns an instance populated using the input values.
of(double...) - Static method in class org.apache.commons.statistics.descriptive.Sum: Returns an instance populated using the input values.
of(double...) - Static method in class org.apache.commons.statistics.descriptive.SumOfLogs: Returns an instance populated using the input values.
of(double...) - Static method in class org.apache.commons.statistics.descriptive.SumOfSquares: Returns an instance populated using the input values.
of(double...) - Static method in class org.apache.commons.statistics.descriptive.Variance: Returns an instance populated using the input values.
of(int...) - Static method in class org.apache.commons.statistics.descriptive.GeometricMean: Returns an instance populated using the input values.
of(int...) - Static method in class org.apache.commons.statistics.descriptive.IntMax: Returns an instance populated using the input values.
of(int...) - Static method in class org.apache.commons.statistics.descriptive.IntMean: Returns an instance populated using the input values.
of(int...) - Static method in class org.apache.commons.statistics.descriptive.IntMin: Returns an instance populated using the input values.
of(int...) - Static method in class org.apache.commons.statistics.descriptive.IntStandardDeviation: Returns an instance populated using the input values.
of(int...) - Static method in class org.apache.commons.statistics.descriptive.IntSum: Returns an instance populated using the input values.
of(int...) - Static method in class org.apache.commons.statistics.descriptive.IntSumOfSquares: Returns an instance populated using the input values.
of(int...) - Static method in class org.apache.commons.statistics.descriptive.IntVariance: Returns an instance populated using the input values.
of(int...) - Static method in class org.apache.commons.statistics.descriptive.Kurtosis: Returns an instance populated using the input values.
of(int...) - Static method in class org.apache.commons.statistics.descriptive.Product: Returns an instance populated using the input values.
of(int...) - Static method in class org.apache.commons.statistics.descriptive.Skewness: Returns an instance populated using the input values.
of(int...) - Static method in class org.apache.commons.statistics.descriptive.SumOfLogs: Returns an instance populated using the input values.
of(long...) - Static method in class org.apache.commons.statistics.descriptive.GeometricMean: Returns an instance populated using the input values.
of(long...) - Static method in class org.apache.commons.statistics.descriptive.Kurtosis: Returns an instance populated using the input values.
of(long...) - Static method in class org.apache.commons.statistics.descriptive.LongMax: Returns an instance populated using the input values.
of(long...) - Static method in class org.apache.commons.statistics.descriptive.LongMean: Returns an instance populated using the input values.
of(long...) - Static method in class org.apache.commons.statistics.descriptive.LongMin: Returns an instance populated using the input values.
of(long...) - Static method in class org.apache.commons.statistics.descriptive.LongStandardDeviation: Returns an instance populated using the input values.
of(long...) - Static method in class org.apache.commons.statistics.descriptive.LongSum: Returns an instance populated using the input values.
of(long...) - Static method in class org.apache.commons.statistics.descriptive.LongSumOfSquares: Returns an instance populated using the input values.
of(long...) - Static method in class org.apache.commons.statistics.descriptive.LongVariance: Returns an instance populated using the input values.
of(long...) - Static method in class org.apache.commons.statistics.descriptive.Product: Returns an instance populated using the input values.
of(long...) - Static method in class org.apache.commons.statistics.descriptive.Skewness: Returns an instance populated using the input values.
of(long...) - Static method in class org.apache.commons.statistics.descriptive.SumOfLogs: Returns an instance populated using the input values.
of(Set<Statistic>, double...) - Static method in class org.apache.commons.statistics.descriptive.DoubleStatistics: Returns a new instance configured to compute the specified statistics populated using the input values.
of(Set<Statistic>, int...) - Static method in class org.apache.commons.statistics.descriptive.IntStatistics: Returns a new instance configured to compute the specified statistics populated using the input values.
of(Set<Statistic>, long...) - Static method in class org.apache.commons.statistics.descriptive.LongStatistics: Returns a new instance configured to compute the specified statistics populated using the input values.
of(Statistic...) - Static method in class org.apache.commons.statistics.descriptive.DoubleStatistics: Returns a new instance configured to compute the specified statistics.
of(Statistic...) - Static method in class org.apache.commons.statistics.descriptive.IntStatistics: Returns a new instance configured to compute the specified statistics.
of(Statistic...) - Static method in class org.apache.commons.statistics.descriptive.LongStatistics: Returns a new instance configured to compute the specified statistics.
org.apache.commons.statistics.descriptive - package org.apache.commons.statistics.descriptive: Implementations of univariate statistics.

P

probabilities(int) - Static method in class org.apache.commons.statistics.descriptive.Quantile: Generate n evenly spaced probabilities in the range [0, 1].
probabilities(int, double, double) - Static method in class org.apache.commons.statistics.descriptive.Quantile: Generate n evenly spaced probabilities in the range [p1, p2].
Product - Class in org.apache.commons.statistics.descriptive: Returns the product of the available values.
PRODUCT - org.apache.commons.statistics.descriptive.Statistic: Product.

Q

Quantile - Class in org.apache.commons.statistics.descriptive: Provides quantile computation.
Quantile.EstimationMethod - Enum in org.apache.commons.statistics.descriptive: Estimation methods for a quantile.

S

setBiased(boolean) - Method in class org.apache.commons.statistics.descriptive.IntStandardDeviation: Sets the value of the biased flag.
setBiased(boolean) - Method in class org.apache.commons.statistics.descriptive.IntVariance: Sets the value of the biased flag.
setBiased(boolean) - Method in class org.apache.commons.statistics.descriptive.Kurtosis: Sets the value of the biased flag.
setBiased(boolean) - Method in class org.apache.commons.statistics.descriptive.LongStandardDeviation: Sets the value of the biased flag.
setBiased(boolean) - Method in class org.apache.commons.statistics.descriptive.LongVariance: Sets the value of the biased flag.
setBiased(boolean) - Method in class org.apache.commons.statistics.descriptive.Skewness: Sets the value of the biased flag.
setBiased(boolean) - Method in class org.apache.commons.statistics.descriptive.StandardDeviation: Sets the value of the biased flag.
setBiased(boolean) - Method in class org.apache.commons.statistics.descriptive.Variance: Sets the value of the biased flag.
setConfiguration(StatisticsConfiguration) - Method in class org.apache.commons.statistics.descriptive.DoubleStatistics.Builder: Sets the statistics configuration options for computation of statistics.
setConfiguration(StatisticsConfiguration) - Method in class org.apache.commons.statistics.descriptive.DoubleStatistics: Sets the statistics configuration.
setConfiguration(StatisticsConfiguration) - Method in class org.apache.commons.statistics.descriptive.IntStatistics.Builder: Sets the statistics configuration options for computation of statistics.
setConfiguration(StatisticsConfiguration) - Method in class org.apache.commons.statistics.descriptive.IntStatistics: Sets the statistics configuration.
setConfiguration(StatisticsConfiguration) - Method in class org.apache.commons.statistics.descriptive.LongStatistics.Builder: Sets the statistics configuration options for computation of statistics.
setConfiguration(StatisticsConfiguration) - Method in class org.apache.commons.statistics.descriptive.LongStatistics: Sets the statistics configuration.
Skewness - Class in org.apache.commons.statistics.descriptive: Computes the skewness of the available values.
SKEWNESS - org.apache.commons.statistics.descriptive.Statistic: Skewness.
STANDARD_DEVIATION - org.apache.commons.statistics.descriptive.Statistic: Standard deviation.
StandardDeviation - Class in org.apache.commons.statistics.descriptive: Computes the standard deviation of the available values.
Statistic - Enum in org.apache.commons.statistics.descriptive: A statistic that can be computed on univariate data, for example a stream of double values.
StatisticAccumulator<T extends StatisticResult> - Interface in org.apache.commons.statistics.descriptive: A mutable result container that accumulates a StatisticResult.
StatisticResult - Interface in org.apache.commons.statistics.descriptive: Represents the result of a statistic computed over a set of values.
StatisticsConfiguration - Class in org.apache.commons.statistics.descriptive: Configuration for computation of statistics.
Sum - Class in org.apache.commons.statistics.descriptive: Returns the sum of the available values.
SUM - org.apache.commons.statistics.descriptive.Statistic: Sum.
SUM_OF_LOGS - org.apache.commons.statistics.descriptive.Statistic: Sum of the natural logarithm of values.
SUM_OF_SQUARES - org.apache.commons.statistics.descriptive.Statistic: Sum of the squared values.
SumOfLogs - Class in org.apache.commons.statistics.descriptive: Returns the sum of the natural logarithm of available values.
SumOfSquares - Class in org.apache.commons.statistics.descriptive: Returns the sum of the squares of the available values.

V

valueOf(String) - Static method in enum org.apache.commons.statistics.descriptive.NaNPolicy: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.statistics.descriptive.Quantile.EstimationMethod: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.statistics.descriptive.Statistic: Returns the enum constant of this type with the specified name.
values() - Static method in enum org.apache.commons.statistics.descriptive.NaNPolicy: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.statistics.descriptive.Quantile.EstimationMethod: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.statistics.descriptive.Statistic: Returns an array containing the constants of this enum type, in the order they are declared.
Variance - Class in org.apache.commons.statistics.descriptive: Computes the variance of the available values.
VARIANCE - org.apache.commons.statistics.descriptive.Statistic: Variance.

W

with(NaNPolicy) - Method in class org.apache.commons.statistics.descriptive.Median: Return an instance with the configured NaNPolicy.
with(NaNPolicy) - Method in class org.apache.commons.statistics.descriptive.Quantile: Return an instance with the configured NaNPolicy.
with(Quantile.EstimationMethod) - Method in class org.apache.commons.statistics.descriptive.Quantile: Return an instance with the configured Quantile.EstimationMethod.
withBiased(boolean) - Method in class org.apache.commons.statistics.descriptive.StatisticsConfiguration: Return an instance with the configured biased option.
withCopy(boolean) - Method in class org.apache.commons.statistics.descriptive.Median: Return an instance with the configured copy behaviour.
withCopy(boolean) - Method in class org.apache.commons.statistics.descriptive.Quantile: Return an instance with the configured copy behaviour.
withDefaults() - Static method in class org.apache.commons.statistics.descriptive.Median: Return a new instance with the default options.
withDefaults() - Static method in class org.apache.commons.statistics.descriptive.Quantile: Return a new instance with the default options.
withDefaults() - Static method in class org.apache.commons.statistics.descriptive.StatisticsConfiguration: Return an instance using the default options.

A B C D E G H I K L M N O P Q S V W
All Classes All Packages