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| uniformDistribution (double, double) |
| standard constructor from extremities of the interval More...
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double | valInf () |
| Read accessor to the lower end of the interval. More...
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double | valSup () |
| Read accessor to the upper end of the interval. More...
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double | mean () |
| computing the mathematical expectation or mean More...
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double | rate () |
| computing the "rate", defined as the inverse of the mean More...
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double | moment (int order) |
| Computing the moments of the distribution. More...
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double | variance () |
| Computing the variance of the random variable: the second moment minus the square of the first moment. Variance is the square of the coefficient of variation. The Distribution class offers a default implementation. More...
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double | laplace (double s) |
| computing the Laplace transform of the distribution at real point More...
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double | dLaplace (double s) |
| computing the derivative of the Laplace transform at real points More...
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double | cdf (double x) |
| computing the cumulative distribution function at some real point x. This is the probability that the random variable is less or equal to x. More...
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double | ccdf (double x) |
| computing the complementary cumulative distributon function (or tail) at some real point x. This is the probability that the random variable is strictly larger than x. The Distribution class offers a default implementation. More...
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bool | hasMoment (int order) |
| test for the existence of moments of any order More...
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uniformDistribution * | rescale (double factor) |
| rescaling a distribution by some real factor. Not all distributions allow this for any real factor. If the operation fails, or if the factor is 1.0, a copy of the distribution should be returned (not by using the copy() function). More...
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uniformDistribution * | copy () |
| copying a distribution. Typically implemented as rescale(1.0). More...
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double | sample () |
| drawing a (pseudo)random value according to the distribution. More...
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void | iidSample (int n, double *s) |
| drawing an i.i.d. sample from the distribution. The result is returned in an array (that must have been already allocated) passed as a parameter. The Distribution class offers the default implementation with repeated call to sample(). More...
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std::string | toString () |
| an utility to convert the distribution into a string. More...
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void | write (FILE *out, int mode) |
| an utility to write the distribution to some file, according to some format. More...
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virtual | ~Distribution () |
| Standard destructor. More...
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std::string | name () |
| Read accessor to the type name of the distribution. More...
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double | variance () |
| Computing the variance of the random variable: the second moment minus the square of the first moment. Variance is the square of the coefficient of variation. The Distribution class offers a default implementation. More...
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double | ccdf (double x) |
| computing the complementary cumulative distributon function (or tail) at some real point x. This is the probability that the random variable is strictly larger than x. The Distribution class offers a default implementation. More...
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void | iidSample (int n, double *s) |
| drawing an i.i.d. sample from the distribution. The result is returned in an array (that must have been already allocated) passed as a parameter. The Distribution class offers the default implementation with repeated call to sample(). More...
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virtual double | distanceL1 (Distribution *d) |
| Computing generally the L1 distance between distributions. More...
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virtual bool | hasProperty (std::string pro) |
| Property test function. Current properties are: More...
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void | fprint () |
| write on stdout with NORMAL_PRINT_MODE More...
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The continuous uniform distribution over some interval.