MathProbabilityDensityChiSquare
MathProbabilityDensityChiSquare
Calculates the value of the probability density function of chi-squared distribution with the nu parameter for a random variable x. In case of error it returns NaN.
double MathProbabilityDensityChiSquare(
const double x, // value of random variable
const double nu, // parameter of distribution (number of degrees of freedom)
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 density function of chi-squared distribution with the nu parameter for a random variable x. In case of error it returns NaN.
double MathProbabilityDensityChiSquare(
const double x, // value of random variable
const double nu, // parameter of distribution (number of degrees of freedom)
int& error_code // variable to store the error code
);Calculates the value of the probability density function of chi-squared distribution with the nu parameter for an array of random variables x[]. In case of error it returns false. Analog of the dchisq() in R.
bool MathProbabilityDensityChiSquare(
const double& x[], // array with the values of random variable
const double nu, // parameter of distribution (number of degrees of freedom)
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 density function of chi-squared distribution with the nu parameter for an array of random variables x[]. In case of error it returns false.
bool MathProbabilityDensityChiSquare(
const double& x[], // array with the values of random variable
const double nu, // parameter of distribution (number of degrees of freedom)
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.
- nu
[in] Parameter of distribution (number of degrees of freedom)
- 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.