1,720,976 research outputs found
Fattori eco-ambientali e tendenze statistiche: un'analisi comparativa fra le principali metropoli italiane
Valori soglia dell'indice EN per la scelta della distribuzione Normale o Esponenziale nella quantificazione indiretta
multinomial logit model: multicollinearity and its consequences on parameter estimation and on independence from irrelevant alternative test
The formation of attendee loyalty at cultural festivals. What role for knowledge and authenticity?
Scholars have only recently been focusing on the study of knowledge in the formation of loyalty in cultural festivals and much remains to be understood regarding this. The present study adopts a managerial standpoint and develops a knowledge-based model of attendee loyalty in cultural festivals in which the role of authenticity is also evaluated. It considers two knowledge-based constructs, prior knowledge and acquired knowledge, referring to the cultures and the traditions evoked during the festival, and intercepts their role with respect to loyalty also
in conjunction with authenticity. Based on data collected from 306 attendees at a cultural festival organized annually in South Italy, a co-variance-based SEM was performed. Results highlight that prior and acquired knowledge positively influence loyalty. Perceived authenticity acts as a mediator in these relationships. These findings provide theoretical and practical implications for researchers and festival organizers
A model for assessing sea environmental quality
In this paper, we aim to study the key factors which affect the environmental
quality of the sea. The Fp-ratio, utilized as an indicator of the trophic state
of the coastal waters, is classified into three categories. Given the ordinal nature of
the response variable, we believe ordinal logistic regression models are the most
proper statistic methodology. As the regressors are strongly correlated, the parameters
of ordinal logistic regression models cannot be estimated. For solving this problem
and, in general, the consequences of multicollinearity, we develop an approach
based on principal components. The new approach will be applied for estimating
the Fp-ratio
Cumulative correspondence analysis to evaluate the local public transport
In transportation systems, Customer Satisfaction analysis is an useful instrument to improve the quality of the services that companies offer to the pas- sengers. The judgments are expressed using an ordinal scale and it is interesting to study the relationship that can exists with an explicative variable. Taguchis statistic has long been known to be an appropriate measure of association for the depen- dence of ordinal variables. Therefore, when a two-way contingency table consists at least of an ordinal categorical variable, it is more appropriate to use Taguchis statistic in the correspondence analysis. The aim of this paper is to show how some factors can influence the evaluation of the quality perceived by the passengers of a transportation company in Campania region
PhD satisfaction analysis in Italian University via Classification tree, Bagging and Random Forest.
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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