|
| static double | noncentralChiSquareDensity (double x, double nu, double lambda) |
| |
| static double | noncentralChiSquareCdf (double x, double nu, double lambda) |
| |
| static double | skellamDensity (int k, double lambda1, double lambda2) |
| |
| static double | skellamCdf (int k, double lambda1, double lambda2) |
| |
| static double | skellamPvalue (int k, double lambda1, double lambda2) |
| |
| static double | skellamLeftTail (int k, double lambda1, double lambda2) |
| |
| static double | skellamRightTail (int k, double lambda1, double lambda2) |
| |
- Author
- prussell Statistical distributions
| static double broad.core.math.Distribution.noncentralChiSquareCdf |
( |
double |
x, |
|
|
double |
nu, |
|
|
double |
lambda |
|
) |
| |
|
static |
Compute the cdf of a noncentral chi square distribution
- Parameters
-
| x | Value of random variable |
| nu | Degrees of freedom |
| lambda | Noncentrality parameter |
- Returns
- The cdf of the noncentral chi square distribution with the specified parameters, evaluated at the specified value
| static double broad.core.math.Distribution.noncentralChiSquareDensity |
( |
double |
x, |
|
|
double |
nu, |
|
|
double |
lambda |
|
) |
| |
|
static |
Compute the pdf of a noncentral chi square distribution
- Parameters
-
| x | Value of random variable |
| nu | Degrees of freedom |
| lambda | Noncentrality parameter |
- Returns
- The pdf of the noncentral chi square distribution with the specified parameters, evaluated at the specified value
| static double broad.core.math.Distribution.skellamCdf |
( |
int |
k, |
|
|
double |
lambda1, |
|
|
double |
lambda2 |
|
) |
| |
|
static |
Compute the cdf of a Skellam distribution, the distribution of the difference of two Poisson random variables
- Parameters
-
| k | Value of random variable |
| lambda1 | Poisson parameter for distribution 1 |
| lambda2 | Poisson parameter for distribution 2 |
- Returns
- Probability that the difference (variable1 minus variable2) is less than or equal to the specified value
| static double broad.core.math.Distribution.skellamDensity |
( |
int |
k, |
|
|
double |
lambda1, |
|
|
double |
lambda2 |
|
) |
| |
|
static |
Compute the pdf of a Skellam distribution, the distribution of the difference of two Poisson random variables
- Parameters
-
| k | Value of random variable |
| lambda1 | Poisson parameter for distribution 1 |
| lambda2 | Poisson parameter for distribution 2 |
- Returns
- Probability that the difference (variable1 minus variable2) is equal to the specified value
| static double broad.core.math.Distribution.skellamLeftTail |
( |
int |
k, |
|
|
double |
lambda1, |
|
|
double |
lambda2 |
|
) |
| |
|
static |
Compute the left tail of a Skellam distribution, the distribution of the difference of two Poisson random variables
- Parameters
-
| k | Value of random variable |
| lambda1 | Poisson parameter for distribution 1 |
| lambda2 | Poisson parameter for distribution 2 |
- Returns
- The probability of observing at most this value under the null hypothesis of a Skellam-distributed random variable
| static double broad.core.math.Distribution.skellamPvalue |
( |
int |
k, |
|
|
double |
lambda1, |
|
|
double |
lambda2 |
|
) |
| |
|
static |
Compute the one-tailed P-value of a Skellam distribution, the distribution of the difference of two Poisson random variables
- Parameters
-
| k | Value of random variable |
| lambda1 | Poisson parameter for distribution 1 |
| lambda2 | Poisson parameter for distribution 2 |
- Returns
- The probability of observing at least as extreme a value under the null hypothesis of a Skellam-distributed random variable (whichever tail is smaller)
| static double broad.core.math.Distribution.skellamRightTail |
( |
int |
k, |
|
|
double |
lambda1, |
|
|
double |
lambda2 |
|
) |
| |
|
static |
Compute the right tail of a Skellam distribution, the distribution of the difference of two Poisson random variables
- Parameters
-
| k | Value of random variable |
| lambda1 | Poisson parameter for distribution 1 |
| lambda2 | Poisson parameter for distribution 2 |
- Returns
- The probability of observing at least this value under the null hypothesis of a Skellam-distributed random variable
The documentation for this class was generated from the following file: