Package org.apache.commons.math3.stat.descriptive.moment

Examples of org.apache.commons.math3.stat.descriptive.moment.Variance.evaluate()

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        for (int i = 0; i < length; i++) {
            values[i] = start + i;
        }

        StandardDeviation stdDev = new StandardDeviation();
        return stdDev.evaluate(values);
    }
}
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        for (int i = 0; i < length; i++) {
            values[i] = start + i;
        }

        StandardDeviation stdDev = new StandardDeviation(false);
        return stdDev.evaluate(values);
    }
}
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        for (int i = 0; i < length; i++) {
            values[i] = start + i;
        }

        StandardDeviation stdDev = new StandardDeviation(false);
        return stdDev.evaluate(values);
    }
}
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        for (int i = 0; i < length; i++) {
            values[i] = start + i;
        }

        StandardDeviation stdDev = new StandardDeviation();
        return stdDev.evaluate(values);
    }
}
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        for (int i = 0; i < length; i++) {
            values[i] = start + i;
        }

        StandardDeviation stdDev = new StandardDeviation();
        return stdDev.evaluate(values);
    }
}
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            for (int j = 0; j < i; j++) {
              double cov = covariance(matrix.getColumn(i), matrix.getColumn(j), biasCorrected);
              outMatrix.setEntry(i, j, cov);
              outMatrix.setEntry(j, i, cov);
            }
            outMatrix.setEntry(i, i, variance.evaluate(matrix.getColumn(i)));
        }
        return outMatrix;
    }

    /**
 
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            for (int j = 0; j < i; j++) {
              double cov = covariance(matrix.getColumn(i), matrix.getColumn(j), biasCorrected);
              outMatrix.setEntry(i, j, cov);
              outMatrix.setEntry(j, i, cov);
            }
            outMatrix.setEntry(i, i, variance.evaluate(matrix.getColumn(i)));
        }
        return outMatrix;
    }

    /**
 
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        for (int i = 0; i < length; i++) {
            values[i] = start + i;
        }

        Variance variance = new Variance(false);
        return variance.evaluate(values);
    }

    @Override
    protected String getFunctionName()
    {
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        for (int i = 0; i < length; i++) {
            values[i] = start + i;
        }

        Variance variance = new Variance();
        return variance.evaluate(values);
    }

    @Override
    protected String getFunctionName()
    {
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        for (int i = 0; i < length; i++) {
            values[i] = start + i;
        }

        Variance variance = new Variance(false);
        return variance.evaluate(values);
    }

    @Override
    protected String getFunctionName()
    {
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