Metadata-Version: 2.1
Name: subjective-test
Version: 0.0.1
Summary: Transforming the Mean Opinion Scores (MOS) values given their 95% Confidence Intervals to safely use rank based statictial techniques.
Home-page: https://github.com/babaknaderi/MOS-transformation
Author: Babak Naderi
Author-email: bnaderi9@gmail.com
License: UNKNOWN
Description: # MOS-transformation
        Implementation of MOS-transformation to be used with Rank based statistical techniques.
        
        The rank correlation coefficients and the ranked-based statistical tests (as a subset of non-parametric techniques) might 
        be misleading when they are applied to subjectively collected opinion scores. Those techniques assume that the data is 
        measured at least at an ordinal level and define a sequence of scores to represent a tied rank when they have precisely 
        an equal numeric value.
        
        In this paper, we show that the definition of tied rank, as mentioned above, is not suitable for Mean Opinion Scores 
        (MOS) and might be misleading conclusions of rank-based statistical techniques. Furthermore, we introduce a method to 
        overcome this issue by transforming the MOS values considering their 95% Confidence Intervals. The rank correlation 
        coefficients and ranked-based statistical tests can then be safely applied to the transformed values. We also provide 
        open-source software packages in different programming languages to utilize the application of our transformation method 
        in the quality of experience domain.
        
        ## Code
        How to use?
        tba
        
        ## Contact
        
        Babak Naderi, babak.naderi[at]tu-berlin.de
        
        ## Citation
        Naderi B, MÃ¶ller S. [Transformation of Mean Opinion Scores to AvoidMisleading of Ranked based Statistical Techniques](https://arxiv) 
        2020 Twelfth International Workshop on Quality of Multimedia Experience (QoMEX). IEEE, 2020.
        
        
        ## License
        MIT License
        
        Copyright 2020 (c) Dr. Babak Naderi.
        
        Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
        
        THE SOFT
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
