Home»Documentation»Statistics Library User's Guide»Appendices»Enumeration Types

## Enumeration Types | Extreme Optimization Numerical Libraries for .NET Professional |

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. |

Enumerates the choices when testing whether a number of samples have the same variance.

Member Name | Description |
---|---|

Use LeveneTest. | |

Use BartlettTest. |

Enumerates the choices when testing whether a sample follows a normal distribution.

Member Name | Description |
---|---|

Use the AndersonDarlingTest. | |

Use the ChiSquareGoodnessOfFitTest. |

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. |

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. |

Copyright Â© 2004-2023,
Extreme Optimization. All rights reserved.

*Extreme Optimization,* *Complexity made simple*, *M#*, and *M
Sharp* are trademarks of ExoAnalytics Inc.

*Microsoft*, *Visual C#, Visual Basic, Visual Studio*, *Visual
Studio.NET*, and the *Optimized for Visual Studio* logo

are
registered trademarks of Microsoft Corporation.