Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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TY - GEN
T1 - Statistical analysis of ordinal user opinion scores
AU - Mu, Mu
AU - Mauthe, Andreas
AU - Tyson, Gareth
AU - Cerqueira, Eduardo
PY - 2012
Y1 - 2012
N2 - Data-sets derived from subjective experiments are often exploited to construct objective quality models using parametric statistics such as MOS and multiple regression. In this paper, using data type and normality tests, we verify that non-normally distributed user opinion scores in nominal or ordinal responses should not be analysed using parametric statistics. The paper introduces a number of non-parametric statistics for valid model building and parameter estimation based on user opinion scores. A set of modelling results are also presented to demonstrate the effectiveness of non-parametric statistics.
AB - Data-sets derived from subjective experiments are often exploited to construct objective quality models using parametric statistics such as MOS and multiple regression. In this paper, using data type and normality tests, we verify that non-normally distributed user opinion scores in nominal or ordinal responses should not be analysed using parametric statistics. The paper introduces a number of non-parametric statistics for valid model building and parameter estimation based on user opinion scores. A set of modelling results are also presented to demonstrate the effectiveness of non-parametric statistics.
U2 - 10.1109/CCNC.2012.6181112
DO - 10.1109/CCNC.2012.6181112
M3 - Conference contribution/Paper
SN - 978-1-4577-2070-3
SP - 331
EP - 336
BT - IEEE Consumer Communications and Networking Conference (CCNC), 2012
PB - IEEE
T2 - IEEE Consumer Communications and Networking Conference
Y2 - 20 December 2012
ER -