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Comparison of Consensus Value Methods Used to Compile On-Axis Gain Measurement Results

Published

Author(s)

Jeffrey R. Guerrieri

Abstract

This paper compares methods for computing consensus values of data sets. Three methods are used to analyze multiple data sets. The data sets are, on-axis gain measurements that have a large range of values and uncertainties. The appropriate method is dependent on characteristics of the data sets such as, the number of data sets, the spread of the data set values and spread of the uncertainty values for each data set. One method computes a weighted mean where the weights are chosen as the inverses of the fractional error in the data values. A second method removes data sets that are determined to be outliers, then computes an unweighted mean. A third computes a simple unweighted mean. The results of this comparison show that the method chosen to compute a consensus value is fairly independent of the data sets.
Proceedings Title
10th European Conference on Antennas and Propagation Proceedings
Conference Dates
April 10-15, 2016
Conference Location
Davos, CH
Conference Title
10th European Conference on Antennas and Propagation

Keywords

consensus value, weighted mean, outlier removal, unweighted mean

Citation

Guerrieri, J. (2016), Comparison of Consensus Value Methods Used to Compile On-Axis Gain Measurement Results, 10th European Conference on Antennas and Propagation Proceedings, Davos, CH, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=919939 (Accessed February 24, 2024)
Created April 9, 2016, Updated April 12, 2022