IntervalStatistics (bayesserver 11.0 API)

java.lang.Object
- com.bayesserver.statistics.IntervalStatistics

```
public final class IntervalStatistics
extends Object
```
Calculates statistics such as mean and variance for discretized variables, i.e. discrete variables whose state values are intervals.

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`static IntervalStatistics`	`calculate(double min, double max)`	Calculates statistics for a single interval.
`static IntervalStatistics`	`calculate(Table table)`	Calculates statistics using table probabilities as weights for each interval.
`double`	`getMean()`	Gets the mean of the discretized variable.
`double`	`getVariance()`	Gets the variance of the discretized variable.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Method Detail
  - getMean
```
public double getMean()
```
    Gets the mean of the discretized variable.
  - getVariance
```
public double getVariance()
```
    Gets the variance of the discretized variable.
  - calculate
```
public static IntervalStatistics calculate(Table table)
```
    Calculates statistics using table probabilities as weights for each interval.
    
    Parameters:
    
    table - A table based on a discretized variable.
    
    Returns:
    
    Statistics such as the mean and variance.
  - calculate
```
public static IntervalStatistics calculate(double min,
                                           double max)
```
    Calculates statistics for a single interval.
    
    Parameters:
    
    min - The interval minimum.
    
    max - The interval maximum.
    
    Returns:
    
    Statistics such as the mean and variance.