Trimmed MeanΒΆ
Global Algorithm - One-Dimensional Algorithm
Trimmed Mean algorithm chops off values at the high and low extremes and applies the Mean algorithm to the remaining observations. In this way, the effect caused by a small number of extreme values can be offsetted.
Input Parameters
| Parameter | Type | Constraint | Description | Remarks |
|---|---|---|---|---|
| \(Y\) | \(Y \in \mathbb R^N\) | \(N \in \mathbb{N}\) | Input data vector of length \(N\) | |
| \(p\) | \(p \in \mathbb R\) | \(0\% \lt p \lt 50\%\) | Percentage of high and low extremes to be trimmed |
Output Parameters
| Parameter | Type | Constraint | Description | Remarks |
|---|---|---|---|---|
| \(\mu\) | \(\mu \in \mathbb R\) | Trimmed mean value of data \(Y\) | The result is sensitive to improper values such as ‘nan’, ‘inf’, ‘null’, etc. |
Tool Support
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For details refer to the online documentation of the function ‘TRIMMEAN’.
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For details refer to the online documentation of the function ‘trimmean’.
Single Steps using the Algorithm