Academic literature on the topic 'Paired comparisons'

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Journal articles on the topic "Paired comparisons"

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Ra, Jang W. "Chainwise Paired Comparisons." Decision Sciences 30, no. 2 (1999): 581–99. http://dx.doi.org/10.1111/j.1540-5915.1999.tb01623.x.

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Nagasawa, Shin'ya. "Proposal of "Cyclic Paired Comparisons". (7). Separating Complete Paired Comparisons." Japanese journal of ergonomics 33, Supplement (1997): 378–79. http://dx.doi.org/10.5100/jje.33.supplement_378.

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Zaslavskii, A. A. "Geometry of paired comparisons." Automation and Remote Control 68, no. 3 (2007): 539–44. http://dx.doi.org/10.1134/s0005117907030137.

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Watson, Rex, and H. A. David. "The Method of Paired Comparisons." Mathematical Gazette 73, no. 464 (1989): 161. http://dx.doi.org/10.2307/3619702.

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Christensen, Ronald. "The Method of Paired Comparisons." Technometrics 31, no. 4 (1989): 495–96. http://dx.doi.org/10.1080/00401706.1989.10488612.

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Gabrielsen, Gorm. "Paired comparisons and designed experiments." Food Quality and Preference 11, no. 1-2 (2000): 55–61. http://dx.doi.org/10.1016/s0950-3293(99)00064-6.

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Clarke, G. M., and H. A. David. "The Method of Paired Comparisons." Statistician 38, no. 4 (1989): 307. http://dx.doi.org/10.2307/2349065.

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Joe, Harry. "Majorization, Entropy and Paired Comparisons." Annals of Statistics 16, no. 2 (1988): 915–25. http://dx.doi.org/10.1214/aos/1176350843.

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Jolliffe, F. R., and H. A. David. "The Method of Paired Comparisons." Journal of the Royal Statistical Society. Series A (Statistics in Society) 152, no. 2 (1989): 258. http://dx.doi.org/10.2307/2982926.

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Fageot, Julien, Sadegh Farhadkhani, Lê-Nguyên Hoang, and Oscar Villemaud. "Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 18 (2024): 20379–86. http://dx.doi.org/10.1609/aaai.v38i18.30020.

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Many applications, e.g. in content recommendation, sports, or recruitment, leverage the comparisons of alternatives to score those alternatives. The classical Bradley-Terry model and its variants have been widely used to do so. The historical model considers binary comparisons (victory/defeat) between alternatives, while more recent developments allow finer comparisons to be taken into account. In this article, we introduce a probabilistic model encompassing a broad variety of paired comparisons that can take discrete or continuous values. We do so by considering a well-behaved subset of the e
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Dissertations / Theses on the topic "Paired comparisons"

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Sjölander, Morné Rowan. "SL-model for paired comparisons." Thesis, Nelson Mandela Metropolitan University, 2006. http://hdl.handle.net/10948/605.

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The method of paired comparisons can be found all the way back to 1860, where Fechner made the first publication in this method, using it for his psychometric investigations [4]. Thurstone formalised the method by providing a mathematical background to it [9-11] and in 1927 the method’s birth took place with his psychometric publications, one being “a law of comparative judgment” [12-14]. The law of comparative judgment is a set of equations relating the proportion of times any stimulus k is judged greater on a given attribute than any other stimulus j to the scales and discriminal dispersions
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Sjolander, Morne Rowan. "Time series models for paired comparisons." Thesis, Nelson Mandela Metropolitan University, 2011. http://hdl.handle.net/10948/d1012858.

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The method of paired comparisons is seen as a technique used to rank a set of objects with respect to an abstract or immeasurable property. To do this, the objects get to be compared two at a time. The results are input into a model, resulting in numbers known as weights being assigned to the objects. The weights are then used to rank the objects. The method of paired comparisons was first used for psychometric investigations. Various other applications of the method are also present, for example economic applications, and applications in sports statistics. This study involves taking paired co
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Dittrich, Regina, Brian Francis, and Walter Katzenbeisser. "Temporal dependence in longitudinal paired comparisons." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 2008. http://epub.wu.ac.at/1452/1/document.pdf.

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This paper develops a new approach to the analysis of longitudinal paired comparison data, where comparisons of the same objects by the same judges are made on more than one occasion. As an alternative to other recent approaches to such data, which are based on Kalman filter- ing, our approach treats the problem as one of multivariate multinomial data, allowing dependence terms between comparisons over time to be incorporated. The resulting model can be fitted as a Poisson log-linear model and has parallels with the quadratic binary exponential distribution of Cox. An example from the British
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Venter, Daniel Jacobus Lodewyk. "An evaluation of paired comparison models." Thesis, University of Port Elizabeth, 2004. http://hdl.handle.net/10948/364.

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Introduction: A typical task in quantitative data analysis is to derive estimates of population parameters based on sample statistics. For manifest variables this is usually a straightforward process utilising suitable measurement instruments and standard statistics such the mean, median and standard deviation. Latent variables on the other hand are typically more elusive, making it difficult to obtain valid and reliable measurements. One of the most widely used methods of estimating the parameter value of a latent variable is to use a summated score derived from a set of individual scores for
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Mpapela, Sinazo. "Models for forecasting residential property prices using paired comparisons." Thesis, Nelson Mandela Metropolitan University, 2014. http://hdl.handle.net/10948/5839.

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Residential real estate forecasting has become a part of the larger process of business planning and strategic management. Several studies of housing price trends recommend confining statistical analysis to repeated sales of residential property. This study presents an alternate methodology which combines information only on repeated residential sales regardless of the changes that has been made in the house in-between the sales. Additive and multiplicative models were used to forecast the residential property prices in Nelson Mandela Metropole. Data was collected from various sources and was
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Zou, Lu. "Paired treatments comparisons using multiple incomplete longitudinal biomarkers." Thesis, University of Sheffield, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.575717.

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This is a data-driven study using clinical data provided by UK international company. Their objective was to evaluate biomarkers as surrogate endpoints of the clinical outcomes and specifically to investigate differences between two treatments based on biomarkers. The study raised three issues which are common in clinical trials: surrogate validation (especially with multiple surrogates), missing value imputation and treatment comparison. Biomarkers have been widely used as surrogate endpoints in clinical studies. In the current study, multiple biomarkers were suggested as substitutes for the
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Lenton, Richard, and n/a. "Using the Method of Paired Comparisons in Non-Designed Experiments." Griffith University. School of Australian Environmental Studies, 2007. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20071221.111859.

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It is shown that a limitation of the various collation methods for paired comparison data currently available is their lack of validity when used in cases where the experiment is incomplete and particularly when the judgements are not replicated. Presented in this thesis is a reasonably thorough background to the method of paired comparisons and an overview of the existing methods for collating paired comparison data into a final ranking. As a result of the extensive review of existing collation methods, the thesis progresses logically to a new collation method that utilises all the available
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Lenton, Richard. "Using the Method of Paired Comparisons in Non-Designed Experiments." Thesis, Griffith University, 2007. http://hdl.handle.net/10072/365862.

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It is shown that a limitation of the various collation methods for paired comparison data currently available is their lack of validity when used in cases where the experiment is incomplete and particularly when the judgements are not replicated. Presented in this thesis is a reasonably thorough background to the method of paired comparisons and an overview of the existing methods for collating paired comparison data into a final ranking. As a result of the extensive review of existing collation methods, the thesis progresses logically to a new collation method that utilises all the available
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Hatzinger, Reinhold, and Brian Francis. "Fitting paired comparison models in R." Institut für Statistik und Mathematik, WU Vienna University of Economics and Business, 2004. http://epub.wu.ac.at/740/1/document.pdf.

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Paired comparison models in loglinear form are generalised linear models and can be fitted using the IWLS algorithm. Unfortunately, the design matrices can become very large and thus a method is needed to reduce computational load (relating to both space and time). This paper discusses an algorithm for fitting loglinear paired comparison models in the presence of many nuisance parameters which is based on partition rules for symmetric matrices and takes advantage of the special structure of the design matrix in Poisson loglinear models. The algorithm is implemented as an R function. Some simpl
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Grand, Alexandra, and Regina Dittrich. "Modelling Assumed Metric Paired Comparison Data - Application to Learning Related Emotions." Austrian Statistical Society, 2015. http://epub.wu.ac.at/4762/1/Grand_Dittrich_2015_AJS_Modelling%2DAssumed%2DMetric_25%2D349%2D1%2DPB.pdf.

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In this article we suggest a beta regression model that accounts for the degree of preference in paired comparisons measured on a bounded metric paired comparison scale. The beta distribution for bounded continuous random variables assumes values in the open unit interval (0,1). However, in practice we will observe paired comparison responses that lie within a fixed or arbitrary fixed interval [-a,a] with known value of a. We therefore transform the observed responses into the interval (0,1) and assume that these transformed responses are each a realization of a random variable which follows a
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Books on the topic "Paired comparisons"

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E. E. M. van Berkum. Optimal paired comparison designs for factorial experiments. Matematisch Centrum, 1987.

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Hastie, Trevor. Classification by pairwise coupling. University of Toronto, 1996.

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Bossuyt, Patrick. A Comparison of Probabilistic Unfolding Theories for Paired Comparisons Data. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-84172-9.

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Williams, Cindy. Analysis of subjective judgment matrices. Rand, 1985.

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Weisberg, Herbert I. Bias and causation: Models and judgment for valid comparisons. Wiley, 2010.

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Kolen, Michael J. Comparison of item preequating and random groups equating using IRT and equipercentile methods. American College Testing Program, 1988.

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Money, John. Biographies of gender and hermaphroditism in paired comparisons: Clinical supplement to The handbook of sexology. Elsevier, 1991.

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Patch, Suzanne Elizabeth. P.R. or P.P.& P.?: A comparison of paired reading with pause, prompt and praise. University of Birmingham, 1993.

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Consortium for Mathematics and Its Applications (U.S.), Chedd-Angier Production Company, American Statistical Association, and Annenberg Media, eds. Against all odds--inside statistics: Disc 3, programs 9-12. Annenberg Media, 2011.

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Ayupova, Zaure, Alipasha Karaev, Maygul' Mataeva, Andrey Nechkin, and Igor' Ostapovich. Constitution of the Republic of Kazakhstan: doctrine and practice (to the 25th anniversary of the Constitution of the Republic of Kazakhstan). Publishing Center RIOR, 2021. http://dx.doi.org/10.29039/02053-1.

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This collective monograph is dedicated to the 25th anniversary of the Constitution of the Republic of Kazakhstan. It conducts a comprehensive study. The Constitution of the Republic of Kazakhstan, which mainly considers the historical and theoretical and legal aspects of the development of the Basic Law of the country, as well as its practical component. In addition, special attention is paid to the comparison of the Constitution of the Republic of Kazakhstan with the constitutions of other post-Soviet states. The publication is intended for undergraduate and graduate students, postgraduates a
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Book chapters on the topic "Paired comparisons"

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Nguyen, Hung T., and Gerald S. Rogers. "Tests for Paired Comparisons." In Springer Texts in Statistics. Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4613-8914-9_50.

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Bezembinder, Thorn. "Circularity in Conjoint Paired Comparisons." In Recent Research in Psychology. Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4613-9728-1_9.

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Dittrich, Regina, Reinhold Hatzinger, and Walter Katzenbeisser. "An Extended Model for Paired Comparisons." In Statistical Modelling. Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4612-0789-4_11.

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Uppuluri, V. R. R. "Prioritization Techniques Based on Stochastic Paired Comparisons." In Multiple Criteria Decision Making and Risk Analysis Using Microcomputers. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74919-3_11.

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Funke, Helmut, Katja Lampe, and Bernhard Olt. "How to Achieve Consistent Paired Ratio Comparisons." In Mathematical Modelling in Economics. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-78508-5_16.

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Ziniel, Wolfgang. "Rasch modelling, scale development and paired comparisons." In Third Party Product Reviews and Consumer Behaviour. Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-8349-3633-2_4.

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Crow, Edwin L. "Ranking From Paired Comparisons by Minimizing Inconsistency." In Probability Models and Statistical Analyses for Ranking Data. Springer New York, 1993. http://dx.doi.org/10.1007/978-1-4612-2738-0_16.

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David, H. A., and D. M. Andrews. "Nonparametric Methods of Ranking from Paired Comparisons." In Probability Models and Statistical Analyses for Ranking Data. Springer New York, 1993. http://dx.doi.org/10.1007/978-1-4612-2738-0_2.

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Sen, Pranab Kumar. "Paired Comparisons for Multiple Characteristics: An ANOCOVA Approach." In Statistical Theory and Applications. Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-3990-1_20.

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Großmann, H., H. Holling, U. Graßhoff, and R. Schwabe. "Efficient Designs for Paired Comparisons with a Polynomial Factor." In Nonconvex Optimization and Its Applications. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-3419-5_5.

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Conference papers on the topic "Paired comparisons"

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Torres, Veronica C., Sassan Hodge, Joshua J. Levy, Eunice Y. Chen, Matthew LeBoeuf, and Kimberley S. Samkoe. "Restained frozen sections for direct comparison of fluorescence with histopathology." In Optical Molecular Probes, Imaging and Drug Delivery. Optica Publishing Group, 2025. https://doi.org/10.1364/omp.2025.otu1e.3.

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Restained frozen sections demonstrate a strong correlation between paired-agent imaging and histopathology, and paired-agents have superior diagnostic ability compared to single-agent targeted fluorescence.
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Mihálykó, Csaba, Éva Orbán-Mihálykó, and László Gyarmati. "Consistency and Inconsistency in the Case of a Stochastic Paired Comparison Model." In 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS). IEEE, 2024. https://doi.org/10.1109/citds62610.2024.10791369.

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Dalal, E. N., J. C. Handley, W. Wu, and J. Wang. "Anchored paired comparisons." In Electronic Imaging 2008, edited by Susan P. Farnand and Frans Gaykema. SPIE, 2008. http://dx.doi.org/10.1117/12.766363.

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Dalitz, Christoph, and Katrin E. Bednarek. "Sentiment Lexica from Paired Comparisons." In 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW). IEEE, 2016. http://dx.doi.org/10.1109/icdmw.2016.0135.

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Massimino, Andrew K., and Mark A. Davenport. "The geometry of random paired comparisons." In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2017. http://dx.doi.org/10.1109/icassp.2017.7953383.

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Massimino, Andrew K., and Mark A. Davenport. "Binary stable embedding via paired comparisons." In 2016 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2016. http://dx.doi.org/10.1109/ssp.2016.7551733.

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Canal, Gregory H., Andrew K. Massimino, Mark A. Davenport, and Christopher J. Rozell. "Active Embedding Search via Noisy Paired Comparisons." In 2020 Information Theory and Applications Workshop (ITA). IEEE, 2020. http://dx.doi.org/10.1109/ita50056.2020.9244936.

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Chang, Yu-Chun, Kuan-Ta Chen, Chen-Chi Wu, Chien-Ju Ho, and Chin-Laung Lei. "Online game QoE evaluation using paired comparisons." In 2010 IEEE International Workshop Technical Committee on Communications Quality and Reliability (CQR 2010). IEEE, 2010. http://dx.doi.org/10.1109/cqr.2010.5619923.

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O'Shaughnessy, Matthew R., and Mark A. Davenport. "Localizing users and items from paired comparisons." In 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2016. http://dx.doi.org/10.1109/mlsp.2016.7738837.

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Thorn, Jacob, Rodrigo Pizarro, Bernhard Spanlang, Pablo Bermell-Garcia, and Mar Gonzalez-Franco. "Assessing 3D Scan Quality Through Paired-comparisons Psychophysics." In MM '16: ACM Multimedia Conference. ACM, 2016. http://dx.doi.org/10.1145/2964284.2967200.

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Reports on the topic "Paired comparisons"

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Thompson, Andrew A. Interval Scales From Paired Comparisons. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada568737.

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Glickman, Mark E. Paired Comparison Models with Time-Varying Parameters. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada272016.

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Stern, Hal. Are all Linear Paired Comparison Models Equivalent. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada236856.

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Underhill, Christina M., Ronald M. Bearden, and Hubert T. Chen. Evaluation of the Fake Resistance of a Forced-choice Paired-comparison Computer Adaptive Personality Measure. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada484384.

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Brown, Thomas C., and George L. Peterson. An enquiry into the method of paired comparison: reliability, scaling, and Thurstone's Law of Comparative Judgment. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2009. http://dx.doi.org/10.2737/rmrs-gtr-216.

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Brown, Thomas C., and George L. Peterson. An enquiry into the method of paired comparison: reliability, scaling, and Thurstone's Law of Comparative Judgment. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2009. http://dx.doi.org/10.2737/rmrs-gtr-216.

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Cianciolo, V. Bose-Einstein correlation of positive kaon pairs in E859--Extended results and model comparisons. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/249206.

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Lundy, Erika L., Dan D. Loy, and David Bruene. Performance Comparison of Fall-Calving Cow-Calf Pairs Grazing Cover Crops vs. Traditional Drylot System. Iowa State University, 2018. http://dx.doi.org/10.31274/ans_air-180814-568.

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Lalisse, Matthias. Measuring the Impact of Campaign Finance on Congressional Voting: A Machine Learning Approach. Institute for New Economic Thinking Working Paper Series, 2022. http://dx.doi.org/10.36687/inetwp178.

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How much does money drive legislative outcomes in the United States? In this article, we use aggregated campaign finance data as well as a Transformer based text embedding model to predict roll call votes for legislation in the US Congress with more than 90% accuracy. In a series of model comparisons in which the input feature sets are varied, we investigate the extent to which campaign finance is predictive of voting behavior in comparison with variables like partisan affiliation. We find that the financial interests backing a legislator’s campaigns are independently predictive in both chambe
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Ñopo, Hugo R. The Gender Wage Gap in Chile 1992-2003: From a Matching Comparisons Perspective. Inter-American Development Bank, 2006. http://dx.doi.org/10.18235/0010863.

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This paper analyzes the evolution of the gender wage gap in Chile during the period 1992 to 2003 using the decomposition approach developed in Ñopo (2004). This approach, which decomposes the wage gap into four additive elements, stresses the need for comparisons inside the common support for the distributions of observable characteristics of individuals. Also, it allows an analysis of the distribution of unexplained differences in wages (not only the averages). The results suggest that, besides the high educational attainment of females, there are noticeable gender wage gaps in Chile favoring
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