public final class TestUtils extends Object
Modifier and Type | Method and Description |
---|---|
static double |
chiSquare(double[] expected,
long[] observed) |
static double |
chiSquare(long[][] counts) |
static double |
chiSquareDataSetsComparison(long[] observed1,
long[] observed2) |
static double |
chiSquareTest(double[] expected,
long[] observed) |
static boolean |
chiSquareTest(double[] expected,
long[] observed,
double alpha) |
static double |
chiSquareTest(long[][] counts) |
static boolean |
chiSquareTest(long[][] counts,
double alpha) |
static double |
chiSquareTestDataSetsComparison(long[] observed1,
long[] observed2) |
static boolean |
chiSquareTestDataSetsComparison(long[] observed1,
long[] observed2,
double alpha) |
static double |
g(double[] expected,
long[] observed) |
static double |
gDataSetsComparison(long[] observed1,
long[] observed2) |
static double |
gTest(double[] expected,
long[] observed) |
static boolean |
gTest(double[] expected,
long[] observed,
double alpha) |
static double |
gTestDataSetsComparison(long[] observed1,
long[] observed2) |
static boolean |
gTestDataSetsComparison(long[] observed1,
long[] observed2,
double alpha) |
static double |
gTestIntrinsic(double[] expected,
long[] observed) |
static double |
homoscedasticT(double[] sample1,
double[] sample2) |
static double |
homoscedasticT(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2)
See TTest#
homoscedasticT(fr.cnes.sirius.patrius.math.stat.descriptive.StatisticalSummary,
fr.cnes.sirius.patrius.math.stat.descriptive.StatisticalSummary)
|
static double |
homoscedasticTTest(double[] sample1,
double[] sample2) |
static boolean |
homoscedasticTTest(double[] sample1,
double[] sample2,
double alpha) |
static double |
homoscedasticTTest(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2)
See TTest#
homoscedasticTTest(fr.cnes.sirius.patrius.math.stat.descriptive.StatisticalSummary,
fr.cnes.sirius.patrius.math.stat.descriptive.StatisticalSummary)
|
static double |
oneWayAnovaFValue(Collection<double[]> categoryData) |
static double |
oneWayAnovaPValue(Collection<double[]> categoryData) |
static boolean |
oneWayAnovaTest(Collection<double[]> categoryData,
double alpha) |
static double |
pairedT(double[] sample1,
double[] sample2) |
static double |
pairedTTest(double[] sample1,
double[] sample2) |
static boolean |
pairedTTest(double[] sample1,
double[] sample2,
double alpha) |
static double |
rootLogLikelihoodRatio(long k11,
long k12,
long k21,
long k22) |
static double |
t(double[] sample1,
double[] sample2) |
static double |
t(double mu,
double[] observed) |
static double |
t(double mu,
StatisticalSummary sampleStats) |
static double |
t(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2)
See TTest#
t(fr.cnes.sirius.patrius.math.stat.descriptive.StatisticalSummary,
fr.cnes.sirius.patrius.math.stat.descriptive.StatisticalSummary)
|
static double |
tTest(double[] sample1,
double[] sample2) |
static boolean |
tTest(double[] sample1,
double[] sample2,
double alpha) |
static double |
tTest(double mu,
double[] sample) |
static boolean |
tTest(double mu,
double[] sample,
double alpha) |
static double |
tTest(double mu,
StatisticalSummary sampleStats) |
static boolean |
tTest(double mu,
StatisticalSummary sampleStats,
double alpha) |
static double |
tTest(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2)
See fr.cnes.sirius.patrius.math.stat.inference.TTest#
tTest(fr.cnes.sirius.patrius.math.stat.descriptive.StatisticalSummary,
fr.cnes.sirius.patrius.math.stat.descriptive.StatisticalSummary)
|
static boolean |
tTest(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2,
double alpha)
See fr.cnes.sirius.patrius.math.stat.inference.TTest#
tTest(fr.cnes.sirius.patrius.math.stat.descriptive.StatisticalSummary,
fr.cnes.sirius.patrius.math.stat.descriptive.StatisticalSummary, double)
|
public static double homoscedasticT(double[] sample1, double[] sample2)
TTest.homoscedasticT(double[], double[])
public static double homoscedasticT(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)
public static boolean homoscedasticTTest(double[] sample1, double[] sample2, double alpha)
public static double homoscedasticTTest(double[] sample1, double[] sample2)
public static double homoscedasticTTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)
public static double pairedT(double[] sample1, double[] sample2)
TTest.pairedT(double[], double[])
public static boolean pairedTTest(double[] sample1, double[] sample2, double alpha)
public static double pairedTTest(double[] sample1, double[] sample2)
TTest.pairedTTest(double[], double[])
public static double t(double mu, double[] observed)
TTest.t(double, double[])
public static double t(double mu, StatisticalSummary sampleStats)
public static double t(double[] sample1, double[] sample2)
TTest.t(double[], double[])
public static double t(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)
public static boolean tTest(double mu, double[] sample, double alpha)
TTest.tTest(double, double[], double)
public static double tTest(double mu, double[] sample)
TTest.tTest(double, double[])
public static boolean tTest(double mu, StatisticalSummary sampleStats, double alpha)
public static double tTest(double mu, StatisticalSummary sampleStats)
public static boolean tTest(double[] sample1, double[] sample2, double alpha)
TTest.tTest(double[], double[], double)
public static double tTest(double[] sample1, double[] sample2)
TTest.tTest(double[], double[])
public static boolean tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2, double alpha)
public static double tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)
public static double chiSquare(double[] expected, long[] observed)
public static double chiSquare(long[][] counts)
ChiSquareTest.chiSquare(long[][])
public static boolean chiSquareTest(double[] expected, long[] observed, double alpha)
public static double chiSquareTest(double[] expected, long[] observed)
public static boolean chiSquareTest(long[][] counts, double alpha)
public static double chiSquareTest(long[][] counts)
ChiSquareTest.chiSquareTest(long[][])
public static double chiSquareDataSetsComparison(long[] observed1, long[] observed2)
ChiSquareTest.chiSquareDataSetsComparison(long[], long[])
public static double chiSquareTestDataSetsComparison(long[] observed1, long[] observed2)
ChiSquareTest.chiSquareTestDataSetsComparison(long[], long[])
public static boolean chiSquareTestDataSetsComparison(long[] observed1, long[] observed2, double alpha)
ChiSquareTest.chiSquareTestDataSetsComparison(long[], long[],
double)
public static double oneWayAnovaFValue(Collection<double[]> categoryData)
OneWayAnova.anovaFValue(Collection)
public static double oneWayAnovaPValue(Collection<double[]> categoryData)
OneWayAnova.anovaPValue(Collection)
public static boolean oneWayAnovaTest(Collection<double[]> categoryData, double alpha)
OneWayAnova.anovaTest(Collection,double)
public static double g(double[] expected, long[] observed)
GTest.g(double[], long[])
public static double gTest(double[] expected, long[] observed)
GTest.gTest(double[], long[] )
public static double gTestIntrinsic(double[] expected, long[] observed)
GTest.gTestIntrinsic(double[], long[] )
public static boolean gTest(double[] expected, long[] observed, double alpha)
GTest.gTest(double[],long[],double)
public static double gDataSetsComparison(long[] observed1, long[] observed2)
GTest.gDataSetsComparison(long[], long[])
public static double rootLogLikelihoodRatio(long k11, long k12, long k21, long k22)
GTest.rootLogLikelihoodRatio(long, long, long, long)
public static double gTestDataSetsComparison(long[] observed1, long[] observed2)
GTest.gTestDataSetsComparison(long[], long[])
public static boolean gTestDataSetsComparison(long[] observed1, long[] observed2, double alpha)
GTest.gTestDataSetsComparison(long[],long[],double)
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