# MathProbabilityDensityPoisson

Calculates the value of the probability mass function of Poisson distribution with the lambda parameter for a random variable x. In case of error it returns NaN.

 double  MathProbabilityDensityPoisson(    const double  x,             // value of random variable (integer)    const double  lambda,        // parameter of the distribution (mean)    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 Poisson distribution with the lambda parameter for a random variable x. In case of error it returns NaN.

 double  MathProbabilityDensityPoisson(     const double  x,             // value of random variable (integer)    const double  lambda,        // parameter of the distribution (mean)    int&          error_code     // variable to store the error code    );

Calculates the value of the probability mass function of Poisson distribution with the lambda parameter for an array of random variables x[]. In case of error it returns false. Analog of the dhyper() in R.

 bool  MathProbabilityDensityPoisson(    const double& x[],            // array with the values of random variable    const double  lambda,         // parameter of the distribution (mean)    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 Poisson distribution with the lambda parameter for an array of random variables x[]. In case of error it returns false.

 bool  MathProbabilityDensityPoisson(    const double& x[],            // array with the values of random variable    const double  lambda,         // parameter of the distribution (mean)    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.

lambda

[in]  Parameter of the distribution (mean).

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.