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Uniform distribution
MathQuantileUniform

MathQuantileUniform

MathQuantileUniform

For the specified probability, the function calculates the value of inverse uniform distribution function with the a and b parameters. In case of error it returns NaN.

double  MathQuantileUniform(
   const double  probability,    // probability value of random variable occurrence
   const double  a,              // distribution parameter a (lower bound)
   const double  b,              // distribution parameter b (upper bound)
   const bool    tail,           // flag of calculation, if false, then calculation is performed for 1.0-probability
   const bool    log_mode,       // flag of calculation, if log_mode=true, calculation is performed for Exp(probability)
   int&          error_code      // variable to store the error code
   );

For the specified probability, the function calculates the value of inverse uniform distribution function with the a and b parameters. In case of error it returns NaN.

double  MathQuantileUniform(
   const double  probability,    // probability value of random variable occurrence
   const double  a,              // distribution parameter a (lower bound)
   const double  b,              // distribution parameter b (upper bound)
   int&          error_code      // variable to store the error code
   );

For the specified probability[] array of probability values, the function calculates the value of inverse uniform distribution function with the a and b parameters. In case of error it returns false. Analog of the qcauschy() in R.

double  MathQuantileUniform(
   const double& probability[],  // array with probability values of random variable
   const double  a,              // distribution parameter a (lower bound)
   const double  b,              // distribution parameter b (upper bound)
   const bool    tail,           // flag of calculation, if false, then calculation is performed for 1.0-probability
   const bool    log_mode,       // flag of calculation, if log_mode=true, calculation is performed for Exp(probability)
   double&       result[]        // array with values of quantiles
   );

For the specified probability[] array of probability values, the function calculates the value of inverse uniform distribution function with the a and b parameters. In case of error it returns false.

bool  MathQuantileUniform(
   const double& probability[],  // array with probability values of random variable
   const double  a,              // distribution parameter a (lower bound)
   const double  b,              // distribution parameter b (upper bound)
   double&       result[]        // array with values of quantiles
   );

Parameters

probability

[in] Probability value of random variable.

probability[]

[in] Array with probability values of random variable.

a

[in] Distribution parameter a (lower bound).

b

[in] Distribution parameter b (upper bound).

tail

[in] Flag of calculation, if false, then calculation is performed for 1.0-probability.

log_mode

[in] Flag of calculation, if log_mode=true, calculation is performed for Exp(probability).

error_code

[out] Variable to get the error code.

result[]

[out] Array with values of quantiles.

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MathCumulativeDistributionUniformMathRandomUniform