Represents a constant discrete distribution taking a single real value with probability 1. More...
Inheritance diagram for ConstantDist:
Collaboration diagram for ConstantDist:
Public Member Functions | |
| ConstantDist (double c) | |
Constructs a new constant distribution with probability 1 at c. | |
| double | getMean () |
| Returns the mean \(E[X] = c\). More... | |
| double | getVariance () |
| Returns the variance \(\mbox{Var}[X] = 0\). More... | |
| double | getStandardDeviation () |
| Returns the standard deviation = 0. More... | |
| double | inverseF (double u) |
| Returns the inverse distribution function \(c = F^{-1}(u)\). More... | |
 Public Member Functions inherited from DiscreteDistribution | |
| DiscreteDistribution (double[] values, double[] prob, int n) | |
Constructs a discrete distribution over the \(n\) values contained in array values, with probabilities given in array prob. More... | |
| DiscreteDistribution (int[] values, double[] prob, int n) | |
| Similar to DiscreteDistribution(double[], double[], int). | |
| double | cdf (double x) |
| double | barF (double x) |
| double | inverseF (double u) |
| double | getMean () |
| Computes the mean \(E[X] = \sum_i^{} p_i x_i\) of the distribution. | |
| double | getVariance () |
| Computes the variance \(\mbox{Var}[X] = \sum_i^{} p_i (x_i - E[X])^2\) of the distribution. | |
| double | getStandardDeviation () |
| Computes the standard deviation of the distribution. | |
| double [] | getParams () |
| Returns a table containing the parameters of the current distribution. More... | |
| int | getN () |
| Returns the number of possible values \(x_i\). | |
| double | prob (int i) |
| Returns \(p_i\), the probability of the \(i\)-th value, for. More... | |
| double | getValue (int i) |
| Returns the \(i\)-th value \(x_i\), for \(0\le i<n\). | |
| double | getXinf () |
| Returns the lower limit \(x_0\) of the support of the distribution. More... | |
| double | getXsup () |
| Returns the upper limit \(x_{n-1}\) of the support of the distribution. More... | |
| String | toString () |
Returns a String containing information about the current distribution. | |
Additional Inherited Members | |
| Protected Attributes inherited from DiscreteDistribution | |
| double | cdf [] = null |
| double | pr [] = null |
| int | xmin = 0 |
| int | xmax = 0 |
| int | xmed = 0 |
| int | nVal |
| double | sortedVal [] |
| double | supportA = Double.NEGATIVE_INFINITY |
| double | supportB = Double.POSITIVE_INFINITY |
Detailed Description
Represents a constant discrete distribution taking a single real value with probability 1.
\[ p(x) = \left\{\begin{array}{ll} 1, & \qquad\mbox{for } x = c, \\ 0, & \qquad\mbox{elsewhere. } \end{array}\right. \tag{fcons} \]
\[ F(x) = \left\{\begin{array}{ll} 0, & \qquad\mbox{ for } x < c \\ 1, & \qquad\mbox{ for } x \ge c. \end{array}\right. \tag{cdfcons} \]
Member Function Documentation
◆ getMean()
| double getMean | ( | ) |
◆ getStandardDeviation()
| double getStandardDeviation | ( | ) |
◆ getVariance()
| double getVariance | ( | ) |
◆ inverseF()
| double inverseF | ( | double | u | ) |
The documentation for this class was generated from the following file:
- ConstantDist.java
