| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0574160 |
| utime |
20240402214232.9 |
| mtime |
20230808235959.9 |
| SCOPUS |
85164253460 |
| DOI |
10.1109/SCSP58044.2023.10146233 |
| title
(primary) (eng) |
Conditional histogram analysis of discrete questionnaire data |
| specification |
| page_count |
6 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0574159 |
| ISBN |
979-8-3503-2162-3 |
| ISSN |
2831-5618 |
| title
|
2023 Smart City Symposium Prague (SCSP) |
| page_num |
1-6 |
| publisher |
| place |
Red Hook |
| name |
Curran Associates |
| year |
2023 |
|
|
| keyword |
conditional histograms |
| keyword |
discrete data |
| keyword |
Marascuilo procedure |
| keyword |
questionnaire analysis |
| author
(primary) |
| ARLID |
cav_un_auth*0452994 |
| name1 |
Reznychenko |
| name2 |
T. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0383037 |
| name1 |
Uglickich |
| name2 |
Evženie |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování signálů |
| full_dept |
Department of Signal Processing |
| department (cz) |
ZS |
| department |
ZS |
| full_dept |
Department of Signal Processing |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101167 |
| name1 |
Nagy |
| name2 |
Ivan |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování signálů |
| full_dept |
Department of Signal Processing |
| department (cz) |
ZS |
| department |
ZS |
| full_dept |
Department of Signal Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
8A21009 |
| agency |
GA MŠk |
| ARLID |
cav_un_auth*0432581 |
|
| project |
| project_id |
FW06010535 |
| agency |
GA TA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0452996 |
|
| abstract
(eng) |
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\nof 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. |
| action |
| ARLID |
cav_un_auth*0452995 |
| name |
Smart City Symposium Prague 2023 (SCSP 2023) |
| dates |
20230525 |
| mrcbC20-s |
20230526 |
| place |
Prague |
| country |
CZ |
|
| RIV |
BB |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10103 |
| reportyear |
2024 |
| num_of_auth |
3 |
| presentation_type |
PO |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0344512 |
| confidential |
S |
| arlyear |
2023 |
| mrcbU14 |
85164253460 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU56 |
pdf |
| mrcbU63 |
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 |
|