MathCumulativeDistributionExponential
MathCumulativeDistributionExponential
Calculates the exponential distribution function of probabilities with the mu parameter for a random variable x. In case of error it returns NaN.
double MathCumulativeDistributionExponential(
const double x, // value of random variable
const double mu, // parameter of the distribution (expected value)
const bool tail, // flag of calculation, if true, then the probability of random variable not exceeding x is calculated
const bool log_mode, // calculate the logarithm of the value, if log_mode=true, then the natural logarithm of the probability is returned
int& error_code // variable to store the error code
);Calculates the exponential distribution function of probabilities with the mu parameter for a random variable x. In case of error it returns NaN.
double MathCumulativeDistributionExponential(
const double x, // value of random variable
const double mu, // parameter of the distribution (expected value)
int& error_code // variable to store the error code
);Calculates the exponential distribution function of probabilities with the mu parameter for an array of random variables x[]. In case of error it returns false. Analog of the pexp() in R.
bool MathCumulativeDistributionExponential(
const double& x[], // array with the values of random variable
const double mu, // parameter of the distribution (expected value)
const bool tail, // flag of calculation, if true, then the probability of random variable not exceeding x is calculated
const bool log_mode, // flag to calculate the logarithm of the value, if log_mode=true, then the natural logarithm of the probability is calculated
double& result[] // array for values of the probability function
);Calculates the exponential distribution function of probabilities with the mu parameter for an array of random variables x[]. In case of error it returns false.
bool MathCumulativeDistributionExponential(
const double& x[], // array with the values of random variable
const double mu, // parameter of the distribution (expected value)
double& result[] // array for values of the probability function
);Parameters
- x
[in] Value of random variable.
- x[]
[in] Array with the values of random variable.
- mu
[in] Parameter of the distribution (expected value).
- tail
[in] Flag of calculation. If true, then the probability of random variable not exceeding x is calculated.
- log_mode
[in] Flag to calculate the logarithm of the value. If log_mode=true, then the natural logarithm of the probability is calculated.
- error_code
[out] Variable to store the error code.
- result[]
[out] Array for values of the probability function.