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Statistical analysis of ordinal user opinion scores

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Statistical analysis of ordinal user opinion scores. / Mu, Mu; Mauthe, Andreas; Tyson, Gareth et al.
IEEE Consumer Communications and Networking Conference (CCNC), 2012 . IEEE, 2012. p. 331-336.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Mu, M, Mauthe, A, Tyson, G & Cerqueira, E 2012, Statistical analysis of ordinal user opinion scores. in IEEE Consumer Communications and Networking Conference (CCNC), 2012 . IEEE, pp. 331-336, IEEE Consumer Communications and Networking Conference, Las Vegas, United States, 20/12/12. https://doi.org/10.1109/CCNC.2012.6181112

APA

Mu, M., Mauthe, A., Tyson, G., & Cerqueira, E. (2012). Statistical analysis of ordinal user opinion scores. In IEEE Consumer Communications and Networking Conference (CCNC), 2012 (pp. 331-336). IEEE. https://doi.org/10.1109/CCNC.2012.6181112

Vancouver

Mu M, Mauthe A, Tyson G, Cerqueira E. Statistical analysis of ordinal user opinion scores. In IEEE Consumer Communications and Networking Conference (CCNC), 2012 . IEEE. 2012. p. 331-336 doi: 10.1109/CCNC.2012.6181112

Author

Mu, Mu ; Mauthe, Andreas ; Tyson, Gareth et al. / Statistical analysis of ordinal user opinion scores. IEEE Consumer Communications and Networking Conference (CCNC), 2012 . IEEE, 2012. pp. 331-336

Bibtex

@inproceedings{57278968e79843229f1951a098189efc,
title = "Statistical analysis of ordinal user opinion scores",
abstract = "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.",
author = "Mu Mu and Andreas Mauthe and Gareth Tyson and Eduardo Cerqueira",
year = "2012",
doi = "10.1109/CCNC.2012.6181112",
language = "English",
isbn = "978-1-4577-2070-3",
pages = "331--336",
booktitle = "IEEE Consumer Communications and Networking Conference (CCNC), 2012",
publisher = "IEEE",
note = "IEEE Consumer Communications and Networking Conference ; Conference date: 20-12-2012",

}

RIS

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 -