0574160 20240402214232.920230808235959.9 85164253460 10.1109/SCSP58044.2023.10146233 6 s. E cav_un_epca*0574159979-8-3503-2162-32831-56181-6Red HookCurran Associates2023 conditional histograms discrete data Marascuilo procedure questionnaire analysis cav_un_auth*0452994 Reznychenko T. CZ cav_un_auth*0383037 Uglickich Evženie UTIA-B Zpracování signálů Department of Signal Processing ZS ZS Department of Signal Processing CZ Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101167 Nagy Ivan UTIA-B Zpracování signálů Department of Signal Processing ZS ZS Department of Signal Processing Ústav teorie informace a automatizace AV ČR, v. v. i. pdf http://library.utia.cas.cz/separaty/2023/ZS/uglickich-0574160.pdf 8A21009 GA MŠk cav_un_auth*0432581 FW06010535 GA TA ČR CZ cav_un_auth*0452996 The paper deals with the analysis of histograms of discrete data collected in questionnaires obtained for individual realizations of the target variable. The main aim of the analysis is to explore the influence of combinations of explanatory variables, represented by responses to the questionnaire, on the behavior of the target variable of the questionnaire. In this paper, an automated approach to histogram comparison is proposed based on coding combinations of data and detecting significant differences in frequencies using the Marascuilo procedure. This is the main contribution of the paper. The approach is validated using a simulated questionnaire in which respondents answered regarding their intention to purchase an electric vehicle subject to finance, leasing, and charging availability, as well as their driving style. The results of the experiments are demonstrated. cav_un_auth*0452995 Smart City Symposium Prague 2023 (SCSP 2023) 20230525 20230526 Prague CZ BB 10000 10100 10103 2024 3 PO RVO:67985556 https://hdl.handle.net/11104/0344512 S 2023 85164253460 SCOPUS PUBMED WOS pdf cav_un_epca*0574159 2023 Smart City Symposium Prague (SCSP) Curran Associates 2023 Red Hook 1 6 979-8-3503-2162-3 2831-5618 2691-3666