IDEAS home Printed from https://ideas.repec.org/r/spr/psycho/v16y1951i2p203-206.html
   My bibliography  Save this item

Remarks on the method of paired comparisons: II. The effect of an aberrant standard deviation when equal standard deviations and equal correlations are assumed

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Donald Martin, 1999. "Paired comparison models applied to the design of the Major League baseball play-offs," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(1), pages 69-80.
  2. Éva Orbán-Mihálykó & Csaba Mihálykó & László Koltay, 2019. "A generalization of the Thurstone method for multiple choice and incomplete paired comparisons," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(1), pages 133-159, March.
  3. Kwan, Ying Keung & Ip, Wai Cheung & Kwan, Patrick, 2000. "A crime index with Thurstone's scaling of crime severity," Journal of Criminal Justice, Elsevier, vol. 28(3), pages 237-244.
  4. Harman, Wyatte L. & Eidman, Vernon R. & Hatch, Roy E. & Claypool, P. L., 1972. "Relating Farm and Operator Characteristics to Multiple Goals," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 4(1), pages 215-220, July.
  5. Elliott, Michael A., 2010. "Selecting numerical scales for pairwise comparisons," Reliability Engineering and System Safety, Elsevier, vol. 95(7), pages 750-763.
  6. Jose Pina-Sánchez & John Paul Gosling, 2020. "Tackling selection bias in sentencing data analysis: a new approach based on a scale of severity," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(3), pages 1047-1073, June.
  7. Jayanti Gupta & Paul Damien, 2002. "Conjugacy class prior distributions on metric‐based ranking models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(3), pages 433-445, August.
  8. Araki, Kenji & Hirose, Yoshihiro & Komaki, Fumiyasu, 2019. "Paired comparison models with age effects modeled as piecewise quadratic splines," International Journal of Forecasting, Elsevier, vol. 35(2), pages 733-740.
  9. Lendie Follett & Heath Henderson, 2022. "A hybrid approach to targeting social assistance," Papers 2201.01356, arXiv.org.
  10. Julio González-Díaz & Ruud Hendrickx & Edwin Lohmann, 2014. "Paired comparisons analysis: an axiomatic approach to ranking methods," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 42(1), pages 139-169, January.
  11. Sahand Negahban & Sewoong Oh & Devavrat Shah, 2017. "Rank Centrality: Ranking from Pairwise Comparisons," Operations Research, INFORMS, vol. 65(1), pages 266-287, February.
  12. Sonika Thakur & Shashi Kanta Varma & Patricia A. Goldey, 2001. "Perceptions of drudgery in agricultural and animal husbandry operations: a gender analysis from Haryana State, India," Journal of International Development, John Wiley & Sons, Ltd., vol. 13(8), pages 1165-1178.
  13. Gensch, Dennis H. & Ghose, Sanjoy, 1997. "Improving PRETREE's predictive capabilities," European Journal of Operational Research, Elsevier, vol. 97(3), pages 465-479, March.
  14. Mukhtar Ali, 1998. "Probability models on horse-race outcomes," Journal of Applied Statistics, Taylor & Francis Journals, vol. 25(2), pages 221-229.
  15. Smith, Donnie & Capstick, Daniel F., 1976. "Establishing Priorities Among Multiple Management Goals," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 8(2), pages 1-7, December.
  16. Osei, Prince P. & Davidov, Ori, 2022. "Bayesian linear models for cardinal paired comparison data," Computational Statistics & Data Analysis, Elsevier, vol. 172(C).
  17. Dennie van Dolder & Vincent Buskens, 2014. "Individual Choices in Dynamic Networks: An Experiment on Social Preferences," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-16, April.
  18. Csató, László, 2013. "Rangsorolás páros összehasonlításokkal. Kiegészítések a felvételizői preferencia-sorrendek módszertanához [Paired comparisons ranking. A supplement to the methodology of application-based preferenc," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(12), pages 1333-1353.
  19. Costa, F. P. & Rehman, T., 1999. "Exploring the link between farmers' objectives and the phenomenon of pasture degradation in the beef production systems of Central Brazil," Agricultural Systems, Elsevier, vol. 61(2), pages 135-146, August.
  20. László Csató, 2015. "A graph interpretation of the least squares ranking method," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 44(1), pages 51-69, January.
  21. Graham K. Kenny, 1986. "The Metric Properties of Rating Scales Employed in Evaluation Research," Evaluation Review, , vol. 10(3), pages 397-408, June.
  22. Mark Glickman, 2001. "Dynamic paired comparison models with stochastic variances," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(6), pages 673-689.
  23. Sahand Negahban & Sewoong Oh & Devavrat Shah, 2017. "Rank Centrality: Ranking from Pairwise Comparisons," Operations Research, INFORMS, vol. 65(1), pages 266-287, February.
  24. Centola, Damon & van de Rijt, Arnout, 2015. "Choosing your network: Social preferences in an online health community," Social Science & Medicine, Elsevier, vol. 125(C), pages 19-31.
  25. Vincent Buskens & Jeroen Weesie, 2000. "An Experiment On The Effects Of Embeddedness In Trust Situations," Rationality and Society, , vol. 12(2), pages 227-253, May.
  26. Éva Orbán-Mihálykó & Csaba Mihálykó & László Koltay, 2019. "Incomplete paired comparisons in case of multiple choice and general log-concave probability density functions," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(2), pages 515-532, June.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.