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 YRN NN Input data vector of length N  
p pR 0%<p<50% Percentage of high and low extremes to be trimmed  

Output Parameters

Parameter Type Constraint Description Remarks
μ μR   Trimmed mean value of data Y The result is sensitive to improper values such as ‘nan’, ‘inf’, ‘null’, etc.

Tool Support

Single Steps using the Algorithm