| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/descriptive/moment/ |
| Mean.java | 17 package org.apache.commons.math.stat.descriptive.moment;
65 /** First moment on which this statistic is based. */
66 protected FirstMoment moment; field in class:Mean
79 moment = new FirstMoment();
83 * Constructs a Mean with an External Moment.
85 * @param m1 the moment
88 this.moment = m1;
108 moment.increment(d);
118 moment.clear();
127 return moment.m1
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| Kurtosis.java | 17 package org.apache.commons.math.stat.descriptive.moment;
52 /**Fourth Moment on which this statistic is based */
53 protected FourthMoment moment; field in class:Kurtosis
68 moment = new FourthMoment();
72 * Construct a Kurtosis from an external moment
74 * @param m4 external Moment
78 this.moment = m4;
97 moment.increment(d);
110 if (moment.getN() > 3) {
111 double variance = moment.m2 / (moment.n - 1)
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| Skewness.java | 17 package org.apache.commons.math.stat.descriptive.moment;
46 /** Third moment on which this statistic is based */
47 protected ThirdMoment moment = null; field in class:Skewness
62 moment = new ThirdMoment();
66 * Constructs a Skewness with an external moment
67 * @param m3 external moment
71 this.moment = m3;
90 moment.increment(d);
104 if (moment.n < 3) {
107 double variance = moment.m2 / (moment.n - 1)
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| Variance.java | 17 package org.apache.commons.math.stat.descriptive.moment;
74 protected SecondMoment moment = null; field in class:Variance
78 * the second moment, this evaluates to false when this Variance is
95 moment = new SecondMoment();
99 * Constructs a Variance based on an external second moment.
106 this.moment = m2;
118 moment = new SecondMoment();
124 * property and the supplied external second moment.
133 this.moment = m2;
159 moment.increment(d)
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| SecondMoment.java | 17 package org.apache.commons.math.stat.descriptive.moment;
22 * Computes a statistic related to the Second Central Moment. Specifically,
50 /** second moment of values that have been added */
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| VectorialMean.java | 17 package org.apache.commons.math.stat.descriptive.moment;
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| FirstMoment.java | 17 package org.apache.commons.math.stat.descriptive.moment;
23 * Computes the first moment (arithmetic mean). Uses the definitional formula:
57 /** First moment of values that have been added */
61 * Deviation of most recently added value from previous first moment.
67 * Deviation of most recently added value from previous first moment,
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| FourthMoment.java | 17 package org.apache.commons.math.stat.descriptive.moment;
22 * Computes a statistic related to the Fourth Central Moment. Specifically,
58 /** fourth moment of values that have been added */
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| GeometricMean.java | 17 package org.apache.commons.math.stat.descriptive.moment;
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| StandardDeviation.java | 17 package org.apache.commons.math.stat.descriptive.moment;
59 * Constructs a StandardDeviation from an external second moment.
61 * @param m2 the external moment
93 * <code>isBiasCorrected</code> property and the supplied external moment.
100 * @param m2 the external moment
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| ThirdMoment.java | 17 package org.apache.commons.math.stat.descriptive.moment;
23 * Computes a statistic related to the Third Central Moment. Specifically,
52 /** third moment of values that have been added */
57 * moment, normalized by previous sample size. Retained to prevent
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| SemiVariance.java | 18 package org.apache.commons.math.stat.descriptive.moment;
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| VectorialCovariance.java | 17 package org.apache.commons.math.stat.descriptive.moment;
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| /external/opencv/cv/src/ |
| cvmoments.cpp | 197 /* summarizes moment values for all tiles */
354 ////////////////////////////////// IPP moment functions //////////////////////////////////
511 // mState - moment structure filled by one of the icvMoments[Binary]*** function
567 // Purpose: Returns spatial moment(x_order, y_order) which is determined as:
572 // mom - moment structure filled by one of the icvMoments[Binary]*** function
573 // x_order - x order of the moment
574 // y_order - y order of the moment
576 // moment value or large negative number (-DBL_MAX) if error
583 double moment = -DBL_MAX; local
594 moment = (&(moments->m00))[order + (order >> 1) + (order > 2) * 2 + y_order]
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| /external/toolchain-utils/cros_utils/ |
| stats.py | 72 MOMENTS: moment
224 ## fixed both moment and amoment (two errors)
388 def lmoment(inlist, moment=1):
390 Calculates the nth moment about the mean for a sample (defaults to
391 the 1st moment). Used to calculate coefficients of skewness and kurtosis.
393 Usage: lmoment(inlist,moment=1)
394 Returns: appropriate moment (r) from ... 1/n * SUM((inlist(i)-mean)**r)
396 if moment == 1:
403 s = s + (x - mn)**moment
424 return moment(inlist, 3) / pow(moment(inlist, 2), 1.5
1924 moment = Dispatch((lmoment, (ListType, TupleType)),) variable
4384 moment = Dispatch((lmoment, (ListType, TupleType)), (amoment, (N.ndarray,))) variable
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