scholarly journals A new Maxwell paired comparison model: application to a study of the effect of nicotine levels on cigarette brand choices

Psychometrika ◽  
1967 ◽  
Vol 32 (3) ◽  
pp. 255-264 ◽  
Author(s):  
W. A. Thompson ◽  
Jagbir Singh

Psychometrika ◽  
1960 ◽  
Vol 25 (4) ◽  
pp. 357-367 ◽  
Author(s):  
Gottfried E. Noether

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Khalil Ullah ◽  
Muhammad Aslam

The method of paired comparisons (PC) is widely used to rank items using sensory evaluations. The PC models are developed to provide basis for such comparisons. In this study, the Weibull PC model is analyzed under the Bayesian paradigm using noninformative priors and different loss functions, namely, Squared Error Loss Function (SELF), Quadratic Loss Function (QLF), DeGroot Loss Function (DLF), and Precautionary Loss Function (PLF). Numerical approximation is used to illustrate the entire estimation procedure. A real dataset showing usage preferences for different cellphone brands, Huawei (HW), Samsung (SS), Oppo (OP), QMobile (QM), and Nokia (NK), is used. Quadrature method is used to evaluate the Bayes estimates, their posterior risks, preference probabilities, predictive probabilities, and posterior probabilities to establish and verify ranking order of the competing cellphone brands under study. The results show that the paired comparison model under the study using Bayesian approach involving various loss functions can offer mathematical approach to evaluate cellphone brand preferences. The ranking provided by the model is justifiable according to the usage preference for these cellphone brands. The ranking given by the model indicates that cellphone brand Samsung is preferred the most and QMobile is the least preferred. The plausibility of the model is also assessed using the Chi square test of goodness of fit.


Author(s):  
P. Gorgi ◽  
S. J. Koopman ◽  
R. Lit

AbstractWe study an alternative approach to determine the final league table in football competitions with a premature ending. For several countries, a premature ending of the 2019/2020 football season has occurred due to the COVID-19 pandemic. We propose a model-based method as a possible alternative to the use of the incomplete standings to determine the final table. This method measures the performance of the teams in the matches of the season that have been played and predicts the remaining non-played matches through a paired-comparison model. The main advantage of the method compared to the incomplete standings is that it takes account of the bias in the performance measure due to the schedule of the matches in a season. Therefore, the resulting ranking of the teams based on our proposed method can be regarded as more fair in this respect. A forecasting study based on historical data of seven of the main European competitions is used to validate the method. The empirical results suggest that the model-based approach produces more accurate predictions of the true final standings than those based on the incomplete standings.


2007 ◽  
Vol 17 (3) ◽  
pp. 275-289 ◽  
Author(s):  
Ulrike Graßhoff ◽  
Rainer Schwabe

1998 ◽  
Vol 48 (3-4) ◽  
pp. 169-178
Author(s):  
Dilip Roy

We examine the paired comparison model and obtain a class of probability distributions for which the ratio of intrinsic worths of two products remains unaltered irrespective of the lower time truncation point applied to items of both products. The class of distributions so obtained has been shown to have many nice properties both from the reliability point of view and paired comparison point of view. We also present a characterization result using its within class properties.


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