Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Marica Manisera"'
Publikováno v:
Austrian Journal of Statistics, Vol 53, Iss 3 (2024)
Ordered response scales are often used in questionnaires to measure individuals' attitudes or perceptions. Among different response scale formats, we focus on multi-point semantic differential scales, requiring the respondent to position himself/hers
Externí odkaz:
https://doaj.org/article/04df6ee32cc54f7ca1049b54e05d580e
Autor:
Marica Manisera
Publikováno v:
Statistica, Vol 67, Iss 3, Pp 309-324 (2013)
In order to provide composite indicators of latent variables, for example of customer satisfaction, it is opportune to identify the structure of the latent variable, in terms of the assignment of items to the subscales defining the latent variable. A
Externí odkaz:
https://doaj.org/article/29093384612d4466b55cecb2766daf2a
Publikováno v:
Journal of the Royal Statistical Society Series C: Applied Statistics. 69:1337-1356
Summary In basketball, measures of individual player performance provide critical guidance for a broad spectrum of decisions related to training and game strategy. However, most studies on this topic focus on performance level measurement, neglecting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4346d4537d439eaadc34d184c1cc7110
https://doi.org/10.1111/rssc.12442
https://doi.org/10.1111/rssc.12442
This paper proposes tools for spatial performance analysis in basketball. In detail, we aim at representing maps of the court visualizing areas with different levels of scoring probability of the analysed player or team. To do that, we propose the ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba90692c3cef6360df3b571145cd95f0
https://hdl.handle.net/11379/576406
https://hdl.handle.net/11379/576406
Autor:
Marica Manisera, Paola Zuccolotto
Subjective perceptions and attitudes are usually measured by administering questionnaires with ordered response scales. Among them, a particular case are semantic differential scales, where the respondent has to declare his/her position between two b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbdef23be6359d4162c68210d28c03b5
http://hdl.handle.net/11379/554735
http://hdl.handle.net/11379/554735
Paola Zuccolotto, Marica Manisera and Marco Sandri give a play-by-play of basketball data analyses to assist students, coaches, technical experts and fans in scrutinising the sport, its teams and players
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d791fd0e883fb74b1d56ec325a02fad
http://hdl.handle.net/11379/542673
http://hdl.handle.net/11379/542673
Publikováno v:
Advances in statistical analysis : AStA : a journal of the German Statistical Society.
In this contribution, we investigate the importance of Oliver's Four Factors, proposed in the literature to identify a basketball team's strengths and weaknesses in terms of shooting, turnovers, rebounding and free throws, as success drivers of a bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29ba811df8754c79e0efbd8338ca95b4
https://pubmed.ncbi.nlm.nih.gov/35813984
https://pubmed.ncbi.nlm.nih.gov/35813984
Publikováno v:
Basketball Data Science ISBN: 9780429470615
To discover patterns in data is about using Data Science to reveal the hidden mechanisms governing the analyzed phenomena. Data Science is able to uncover lots of different patterns such as distributions, associations, similarities, interactions, cla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f277f489304769d123f10840eec7089e
https://doi.org/10.1201/9780429470615-3
https://doi.org/10.1201/9780429470615-3
Publikováno v:
Basketball Data Science ISBN: 9780429470615
Basketball Data Science
Basketball Data Science
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0b2208092ddbc1c59959dc2aad8f630
https://doi.org/10.1201/9780429470615-5
https://doi.org/10.1201/9780429470615-5
Publikováno v:
Basketball Data Science ISBN: 9780429470615
Data Mining algorithms try to address the issue as scientifically as possible, defining methods and rules aimed to assign units of observation into classes, which are not defined a priori, and are supposed to somehow reflect the structure of the enti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1edae18fcaaf8e6021a0a72fd0c63451
https://doi.org/10.1201/9780429470615-4
https://doi.org/10.1201/9780429470615-4