TY - UNPB
T1 - Temporal Dependence in Longitudinal Paired Comparisons
AU - Dittrich, Regina
AU - Francis, Brian
AU - Katzenbeisser, Walter
PY - 2008/10/1
Y1 - 2008/10/1
N2 - 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 Household Panel Survey illustrates the approach.
AB - 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 Household Panel Survey illustrates the approach.
U2 - 10.57938/0c5cd849-18bf-4116-a360-c26220c9a7fc
DO - 10.57938/0c5cd849-18bf-4116-a360-c26220c9a7fc
M3 - WU Working Paper and Case
T3 - Research Report Series / Department of Statistics and Mathematics
BT - Temporal Dependence in Longitudinal Paired Comparisons
CY - Wien
ER -