Package org.drip.validation.hypothesis
Class TTestOutcome
java.lang.Object
org.drip.validation.hypothesis.TTestOutcome
public class TTestOutcome
extends java.lang.Object
TTestOutcome holds the Results of a Statistic Hypothesis t-Test.
- Bhattacharya, B., and D. Habtzghi (2002): Median of the p-value under the Alternate Hypothesis American Statistician 56 (3) 202-206
- Head, M. L., L. Holman, R, Lanfear, A. T. Kahn, and M. D. Jennions (2015): The Extent and Consequences of p-Hacking in Science PLoS Biology 13 (3) e1002106
- Wasserstein, R. L., and N. A. Lazar (2016): The ASA’s Statement on p-values: Context, Process, and Purpose American Statistician 70 (2) 129-133
- Wikipedia (2018): t-statistic https://en.wikipedia.org/wiki/T-statistic
- Wikipedia (2019): p-value https://en.wikipedia.org/wiki/P-value
- Module = Computational Core Module
- Library = Model Validation Analytics Library
- Project = Risk Factor and Hypothesis Validation, Evidence Processing, and Model Testing
- Package = Statistical Hypothesis Validation Test Suite
- Author:
- Lakshmi Krishnamurthy
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Constructor Summary
Constructors Constructor Description TTestOutcome(double testStatistic, int sampleCount, double ensembleMean, double ensembleVariance, double ensembleStandardDeviation, double ensembleStandardError, int ensembleDegreesOfFreedom, double ensemblePredictiveConfidenceInterval, double ensembleTStatistics, double ensembleStandardErrorOffset)
TTestOutcome Constructor -
Method Summary
Modifier and Type Method Description int
ensembleDegreesOfFreedom()
Retrieve the Ensemble Degrees of Freedomdouble
ensembleMean()
Retrieve the Ensemble Meandouble
ensemblePredictiveConfidenceInterval()
Retrieve the Ensemble Predictive Confidence Intervaldouble
ensembleStandardDeviation()
Retrieve the Ensemble Standard Deviationdouble
ensembleStandardError()
Retrieve the Ensemble Standard Errordouble
ensembleStandardErrorOffset()
Retrieve the Ensemble Standard Error Offsetdouble
ensembleTStatistics()
Retrieve the Ensemble t-Statisticsdouble
ensembleVariance()
Retrieve the Ensemble Varianceint
sampleCount()
Retrieve the Sample Countdouble
testStatistic()
Retrieve the Sample Test StatisticMethods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Constructor Details
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TTestOutcome
public TTestOutcome(double testStatistic, int sampleCount, double ensembleMean, double ensembleVariance, double ensembleStandardDeviation, double ensembleStandardError, int ensembleDegreesOfFreedom, double ensemblePredictiveConfidenceInterval, double ensembleTStatistics, double ensembleStandardErrorOffset) throws java.lang.ExceptionTTestOutcome Constructor- Parameters:
testStatistic
- Sample Test StatisticsampleCount
- Number of Samples in the EnsembleensembleMean
- Ensemble MeanensembleVariance
- Ensemble VarianceensembleStandardDeviation
- Ensemble Standard DeviationensembleStandardError
- Ensemble Standard ErrorensembleDegreesOfFreedom
- Ensemble Degrees of FreedomensemblePredictiveConfidenceInterval
- Ensemble Predictive Confidence IntervalensembleTStatistics
- Ensemble t-StatisticsensembleStandardErrorOffset
- Ensemble Standard Error Offset- Throws:
java.lang.Exception
- Thrown if the Inputs are Invalid
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Method Details
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testStatistic
public double testStatistic()Retrieve the Sample Test Statistic- Returns:
- The Sample Test Statistic
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sampleCount
public int sampleCount()Retrieve the Sample Count- Returns:
- The Sample Count
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ensembleMean
public double ensembleMean()Retrieve the Ensemble Mean- Returns:
- The Ensemble Mean
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ensembleVariance
public double ensembleVariance()Retrieve the Ensemble Variance- Returns:
- The Ensemble Variance
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ensembleStandardDeviation
public double ensembleStandardDeviation()Retrieve the Ensemble Standard Deviation- Returns:
- The Ensemble Standard Deviation
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ensembleStandardError
public double ensembleStandardError()Retrieve the Ensemble Standard Error- Returns:
- The Ensemble Standard Error
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ensembleDegreesOfFreedom
public int ensembleDegreesOfFreedom()Retrieve the Ensemble Degrees of Freedom- Returns:
- The Ensemble Degrees of Freedom
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ensemblePredictiveConfidenceInterval
public double ensemblePredictiveConfidenceInterval()Retrieve the Ensemble Predictive Confidence Interval- Returns:
- The Ensemble Predictive Confidence Interval
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ensembleTStatistics
public double ensembleTStatistics()Retrieve the Ensemble t-Statistics- Returns:
- The Ensemble t-Statistics
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ensembleStandardErrorOffset
public double ensembleStandardErrorOffset()Retrieve the Ensemble Standard Error Offset- Returns:
- The Ensemble Standard Error Offset
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