Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Carla Rampichini"'
Autor:
Leonardo Grilli, Carla Rampichini
Publikováno v:
Statistica, Vol 62, Iss 1, Pp 111-116 (2007)
In the paper we show how the well-known principle of variance decomposition within and between groups can be extended to the case of a specific dispersion index for ordinal variables.
Externí odkaz:
https://doaj.org/article/4989c601ba61439283ff1d967f617b8c
Publikováno v:
Advances in Data Analysis and Classification. 17:431-461
Tree-based regression models are a class of statistical models for predicting continuous response variables when the shape of the regression function is unknown. They naturally take into account both non-linearities and interactions. However, they st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::906d8827b5200aa44469c756e6510a96
https://doi.org/10.1007/s11634-022-00509-3
https://doi.org/10.1007/s11634-022-00509-3
Publikováno v:
Quality & Quantity.
The COVID-19 pandemic manifested around the World since February 2020, leading to disruptive effects on many aspects of people social life. The suspension of face-to-face teaching activities in schools and universities was the first containment measu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a14fbab9cec52ce0f351a14a1d80b1d9
https://doi.org/10.1007/s11135-023-01612-z
https://doi.org/10.1007/s11135-023-01612-z
Publikováno v:
Statistical Modelling. 22:221-238
The article is motivated by the analysis of the relationship between university student ratings and teacher practices and attitudes, which are measured via a set of binary and ordinal items collected by an innovative survey. The analysis is conducted
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6bd1940575e211a172a20c0d3ed0061
https://doi.org/10.1177/1471082x20949710
https://doi.org/10.1177/1471082x20949710
Mixed or multilevel models exploit random effects to deal with hierarchical data, where statistical units are clustered in groups and cannot be assumed as independent. Sometimes, the assumption of linear dependence of a response on a set of explanato
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67006950c275e1848d7a82594bed5c4b
https://doi.org/10.36253/978-88-5518-304-8.07
https://doi.org/10.36253/978-88-5518-304-8.07
This book focuses on methods and models in classification and data analysis and presents real-world applications at the interface with data science. Numerous topics are covered, ranging from statistical inference and modelling to clustering and facto
Publikováno v:
RIV Rassegna Italiana di Valutazione. :27-43
This paper proposes for the Italian context a governance framework, which relies on training providers’ evaluation to regulate the market of agencies and efficiently allocate resources between them. The proposed model is based on three steps, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b2006d96214d30aae183f8c1dd90ab6
https://doi.org/10.3280/riv2016-065003
https://doi.org/10.3280/riv2016-065003
Publikováno v:
New Statistical Developments in Data Science ISBN: 9783030211578
This work focuses on the relationship between student evaluation of teaching and student, teacher and course specific characteristics, exploiting the richness of information collected by a new survey carried out among professors of the University of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69da6a717fcdcb88521c22631c8548f1
http://hdl.handle.net/11577/3308533
http://hdl.handle.net/11577/3308533
Publikováno v:
ECONOMIA PUBBLICA. :59-84
Il paper si pone l’obiettivo di fornire al policy maker uno strumento metodologico per individuare le scuole del ciclo primario con performance "anomale" in termini di efficacia. Il lavoro si ispira al filone di letteratura sull’efficacia della s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c1836b20b154126af582ecc8910b61d
https://doi.org/10.3280/ep2015-003003
https://doi.org/10.3280/ep2015-003003
Publikováno v:
Studies in Classification, Data Analysis, and Knowledge Organization ISBN: 9783319557076
We consider an explorative method for unsupervised clustering of upper level units in a two-level hierarchical setting. The idea lies in applying a density-based clustering algorithm to the predicted random effects obtained from a multilevel cumulati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e9207d6de9dce943038a97f9a27a80f
https://doi.org/10.1007/978-3-319-55708-3_15
https://doi.org/10.1007/978-3-319-55708-3_15