Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Maria Iannario"'
Autor:
Francesca Di Iorio, Maria Iannario
Publikováno v:
Statistica, Vol 72, Iss 2, Pp 163-172 (2013)
CUB models represent a new approach for the analysis of categorical ordinal data. The relevant domain of study is the specification and estimation of the behaviour of respondents when faced to ratings by analysing the relationship among ordinal score
Externí odkaz:
https://doaj.org/article/44ef4fe9b6e24b2db19516c79244fd47
Autor:
Maria Iannario
Publikováno v:
Statistica, Vol 68, Iss 2, Pp 179-200 (2013)
In this paper we discuss the use of dummy variables as sensible covariates in a class of statistical models which aim at explaining the subjects’ preferences with respect to several items. After a brief introduction to CUB models, the work consider
Externí odkaz:
https://doaj.org/article/1b25aaf3da5c4f09b02f5896e7dd64c7
Autor:
Maria Iannario, Anna Clara Monti
Publikováno v:
Statistical Methods & Applications.
Motivated by the analysis of rating data concerning perceived health status, a crucial variable in biomedical, economic and life insurance models, the paper deals with diagnostic procedures for identifying anomalous and/or influential observations in
Publikováno v:
Models for Data Analysis ISBN: 9783031158841
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1776894987be31e667bc13907326c29e
https://doi.org/10.1007/978-3-031-15885-8_11
https://doi.org/10.1007/978-3-031-15885-8_11
The COVID-19 pandemic has affected every aspect of economic and social life, even overwhelming education. The sudden shift from face-to-face to distance learning affected the students’ learning experience. In addition to some tangible factors, such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3730::ef78be1930b7075e9c3b672552f617f0
https://hdl.handle.net/11588/922147
https://hdl.handle.net/11588/922147
Publikováno v:
AStA Advances in Statistical Analysis. 107:343-367
Recent studies have pointed out the effect of personality traits on athletes’ performance and success; however, fewer analyses have focused the relation among these features and specific athletic behaviors, skills, and strategies to enhance perform
Publikováno v:
Computational Statistics.
A long tradition of analysing ordinal response data deals with parametric models, which started with the seminal approach of cumulative models. When data are collected by means of Likert scale survey questions in which several scored items measure on
Publikováno v:
Annals of Operations Research.
Analyzing sports data has become a challenging issue as it involves not standard data structures coming from several sources and with different formats, being often high dimensional and complex. This paper deals with a dyadic structure (athletes/coac
Publikováno v:
Journal of Applied Statistics. :1-24
Aim of the contribution is analyzing potential events that may negatively impact individuals, assets, and/or the environment, and making judgments about the perceived personal and social riskiness of Covid-19 compared to other hazards belonging to he
Publikováno v:
Evaluation Review. :0193841X2311719
Program evaluations often investigate complex or multi-dimensional constructs, such as individual opinions or attitudes, by means of ratings. A different interpretation of the same question may affect cross-country comparability, leading to the Diffe