3.5 KiB
MathProbabilityDensityNegativeBinomial
Calculates the value of the probability mass function of negative binomial distribution with the r and p parameters for a random variable x. In case of error it returns NaN.
double MathProbabilityDensityNegativeBinomial(
const double x, // value of random variable (integer)
const double r, // number of successful tests
const double p, // probability of success
const bool log_mode, // calculate the logarithm of the value, if log_mode=true, then the natural logarithm of the probability density is calculated
int& error_code // variable to store the error code
);
Calculates the value of the probability mass function of negative binomial distribution with the r and p parameters for a random variable x. In case of error it returns NaN.
double MathProbabilityDensityNegativeBinomial(
const double x, // value of random variable (integer)
const double r, // number of successful tests
const double p, // probability of success
int& error_code // variable to store the error code
);
Calculates the value of the probability mass function of negative binomial distribution with the r and p parameters for an array of random variables x[]. In case of error it returns false. Analog of the dnbinom() in R.
bool MathProbabilityDensityNegativeBinomial(
const double& x[], // array with the values of random variable
const double r, // number of successful tests
const double p, // probability of success
const bool log_mode, // flag to calculate the logarithm of the value, if log_mode=true, then the natural logarithm of the probability density is calculated
double& result[] // array for values of the probability density function
);
Calculates the value of the probability mass function of negative binomial distribution with the r and p parameters for an array of random variables x[]. In case of error it returns false.
bool MathProbabilityDensityNegativeBinomial(
const double& x[], // array with the values of random variable
const double r, // number of successful tests
const double p, // probability of success
double& result[] // array for values of the probability density function
);
Parameters
x
[in] Value of random variable.
x[]
[in] Array with the values of random variable.
r
[in] Number of successful tests
p
[in] Probability of success.
log_mode
[in] Flag to calculate the logarithm of the value. If log_mode=true, then the natural logarithm of the probability density is returned.
error_code
[out] Variable to store the error code.
result[]
[out] Array for values of the probability density function.