This section lists the enumeration types defined in the Extreme Optimization Numerical Libraries for .NET.
Enumerates the possible types of rows in an AnovaTable.
Member Name | Description |
|---|
| The data in the row refers to model effects. |
| The data in the row refers to the residual error in the model. |
| The data in the row refers to the total of model effects and residuals. |
Enumerates how segments at the boundaries of subdivided series are handled.
Member Name | Description |
|---|
| The entire interval is excluded. |
| The interval is included. |
| The interval is extended to a full larger interval and the extended interval is included. |
Enumerates the time units used in the construction of time scales.
Member Name | Description |
|---|
| The time unit is unknown. |
| The time unit is one hour |
| The time unit is one day. |
| The time unit is one week. |
| The time unit is one month. |
| The time unit is one quarter. |
| The time unit is one year. |
Enumerates the possible actions to be taken when a calculation encounters a missing value.
Member Name | Description |
|---|
| Use the default action: The value or row containing the missing value is discarded. |
| The value or row containing the missing value is discarded. |
| The value is ignored. Most operations on numerical variables will give
NaN as a result. |
| Any missing values are replaced with the value of the previous observation. If the first observation is
missing, it is replaced with a user-specified value, or 0. |
| Any missing values are replaced with the value of the next observation. If the last observation is missing,
it is replaced with a user-specified value, or 0. |
| Any missing values are replaced with a user-specified value. |
| A MissingValueException is thrown. |
Enumerates the ways data can be sorted.
Member Name | Description |
|---|
| The data is not sorted. |
| The data is sorted in ascending order. |
| The data is sorted in descending order. |
Enumerates the possible special bins to be included in a Histogram.
Member Name | Description |
|---|
| No special bins are included. |
| There is a special bin for values below the scale's minimum value. |
| There is a special bin for values above the scale's maximum value. |
| There is a special bin for values that are outside the scale's range. |
| There is a special bin for missing values. |
TestOfHomogeneityOfVariances
Enumerates the choices when testing whether a number of samples have the same variance.
Enumerates the choices when testing whether a sample follows a normal distribution.
Enumerates possible values for the luxury level of a RanLux random number generator.
Member Name | Description |
|---|
| The default (low) level. |
| A medium value providing better randomness at a reasonable cost. |
| Highest possible value, providing best possible randomness at greatest cost. |
Enumerates the possible values for a hypothesis test.
Member Name | Description |
|---|
| The null hypothesis is rejected if the test statistic lies too far on either side of the mean of the test
distribution. |
| The null hypothesis is rejected if the test statistic lies in the left (lower) tail of the test
distribution. |
| The null hypothesis is rejected if the test statistic lies in the right (upper) tail of the test
distribution. |
LeveneTestLocationMeasure
Enumerates the ways the central tendency of a sample is calculated in
LeveneTest.
Levene's test for homogeneity of variances assumes that the underlying populations of the samples have a normal
distribution. A specific choice of measure for central tendency can make the test more robust when the data is not
normal.
Member Name | Description |
|---|
| The mean is used. This works best for normal data. |
| The median is used. This is the default, and gives better results when the data is skewed. |
| The 10% trimmed mean is used. This gives better results when the data is heavy-tailed. |
Enumerates the possible ways to relate two samples in a two sample hypothesis test.
Member Name | Description |
|---|
| The two samples are independent. |
| The two samples are paired. Each observation in the first sample has a corresponding observation in the
second sample. |
Enumerates the possible assumptions made about the variances in a multi-sample hypothesis test.
Member Name | Description |
|---|
| No assumption is made about the variances of the samples. |
| The variances of the samples are assumed to be equal. |