Trimmed Mean¶
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∈RN | N∈N | Input data vector of length N | |
p | p∈R | 0%<p<50% | Percentage of high and low extremes to be trimmed |
Output Parameters
Parameter | Type | Constraint | Description | Remarks |
---|---|---|---|---|
μ | μ∈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