This paper describes a model-based strategy adopted for the analysis of aircraft seat comfort data collected in laboratory experiments. A crossover study was planned to investigate the impact of inter-individual variability and timing on seating comfort perceptions. The data analysis strategy is based on cumulative link mixed models (CLMMs). The results confirm the necessity to control the noise factors in order to obtain reliable information for a diagnostic assessment of comfort.
Model-based analysis of a crossover study on aircraft passenger comfort / Vanacore, A.; Percuoco, C.. - (2019), pp. 448-451. (Intervento presentato al convegno 9th International Conference IES 2019 - Innovation & Society - Statistical evaluation systems at 360°: techniques, technologies and new frontiers tenutosi a università Europea di Roma nel luglio 2019).
Model-based analysis of a crossover study on aircraft passenger comfort
Vanacore A.
;
2019
Abstract
This paper describes a model-based strategy adopted for the analysis of aircraft seat comfort data collected in laboratory experiments. A crossover study was planned to investigate the impact of inter-individual variability and timing on seating comfort perceptions. The data analysis strategy is based on cumulative link mixed models (CLMMs). The results confirm the necessity to control the noise factors in order to obtain reliable information for a diagnostic assessment of comfort.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
