Examples of org.apache.commons.math3.distribution.IntegerDistribution.probability()

Package org.apache.commons.math3.distribution

Class org.apache.commons.math3.distribution.IntegerDistribution

Examples of org.apache.commons.math3.distribution.IntegerDistribution.probability()

org.apache.commons.math3.distribution.IntegerDistribution.probability()
For a random variable {@code X} whose values are distributed accordingto this distribution, this method returns {@code P(X = x)}. In other words, this method represents the probability mass function (PMF) for the distribution. @param x the point at which the PMF is evaluated @return the value of the probability mass function at {@code x}

            int criticalValueLow = 0;
            int criticalValueHigh = numberOfTrials;
            double pTotal = 0;


            while (true) {
                double pLow = distribution.probability(criticalValueLow);
                double pHigh = distribution.probability(criticalValueHigh);


                if (pLow == pHigh) {
                    pTotal += 2 * pLow;
                    criticalValueLow++;

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            int criticalValueHigh = numberOfTrials;
            double pTotal = 0;


            while (true) {
                double pLow = distribution.probability(criticalValueLow);
                double pHigh = distribution.probability(criticalValueHigh);


                if (pLow == pHigh) {
                    pTotal += 2 * pLow;
                    criticalValueLow++;
                    criticalValueHigh--;

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            int criticalValueLow = 0;
            int criticalValueHigh = numberOfTrials;
            double pTotal = 0;


            while (true) {
                double pLow = distribution.probability(criticalValueLow);
                double pHigh = distribution.probability(criticalValueHigh);


                if (pLow == pHigh) {
                    pTotal += 2 * pLow;
                    criticalValueLow++;

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            int criticalValueHigh = numberOfTrials;
            double pTotal = 0;


            while (true) {
                double pLow = distribution.probability(criticalValueLow);
                double pHigh = distribution.probability(criticalValueHigh);


                if (pLow == pHigh) {
                    pTotal += 2 * pLow;
                    criticalValueLow++;
                    criticalValueHigh--;

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                    int criticalValueLow = 0;
                    int criticalValueHigh = numberOfTrials;
                    double pTotal = 0;


                    while (true) {
                        double pLow = distribution.probability(criticalValueLow);
                        double pHigh = distribution.probability(criticalValueHigh);


                        if (pLow == pHigh) {
                            pTotal += 2 * pLow;
                            criticalValueLow++;

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                    int criticalValueHigh = numberOfTrials;
                    double pTotal = 0;


                    while (true) {
                        double pLow = distribution.probability(criticalValueLow);
                        double pHigh = distribution.probability(criticalValueHigh);


                        if (pLow == pHigh) {
                            pTotal += 2 * pLow;
                            criticalValueLow++;
                            criticalValueHigh--;

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                    int criticalValueLow = 0;
                    int criticalValueHigh = numberOfTrials;
                    double pTotal = 0;


                    while (true) {
                        double pLow = distribution.probability(criticalValueLow);
                        double pHigh = distribution.probability(criticalValueHigh);


                        if (pLow == pHigh) {
                            pTotal += 2 * pLow;
                            criticalValueLow++;

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                    int criticalValueHigh = numberOfTrials;
                    double pTotal = 0;


                    while (true) {
                        double pLow = distribution.probability(criticalValueLow);
                        double pHigh = distribution.probability(criticalValueHigh);


                        if (pLow == pHigh) {
                            pTotal += 2 * pLow;
                            criticalValueLow++;
                            criticalValueHigh--;

View Full Code Here

                    int criticalValueLow = 0;
                    int criticalValueHigh = numberOfTrials;
                    double pTotal = 0;


                    while (true) {
                        double pLow = distribution.probability(criticalValueLow);
                        double pHigh = distribution.probability(criticalValueHigh);


                        if (pLow == pHigh) {
                            pTotal += 2 * pLow;
                            criticalValueLow++;

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                    int criticalValueHigh = numberOfTrials;
                    double pTotal = 0;


                    while (true) {
                        double pLow = distribution.probability(criticalValueLow);
                        double pHigh = distribution.probability(criticalValueHigh);


                        if (pLow == pHigh) {
                            pTotal += 2 * pLow;
                            criticalValueLow++;
                            criticalValueHigh--;

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