Selection of sustainable urban transportation alternatives using an integrated intuitionistic fuzzy Choquet integral approach
Unrestrained urban development and rapid expansion of motorized vehicles inevitably lead
to unsustainable transportation systems from economic, social and environmental points of …
to unsustainable transportation systems from economic, social and environmental points of …
Does intellectual capital promote the shift of healthcare organizations towards sustainable development? Evidence from Italy
C Cavicchi, E Vagnoni - Journal of Cleaner Production, 2017 - Elsevier
Scholars recently urged for research able to unlock the link between sustainable
development (SD) strategy and intellectual capital (IC) at the organization level. In line with …
development (SD) strategy and intellectual capital (IC) at the organization level. In line with …
[HTML][HTML] An integrated intuitionistic fuzzy closeness coefficient-based OCRA method for sustainable urban transportation options selection
Transportation systems play a key role in urban development by providing access for people
to markets and education, employment, health care, recreation, and other key services …
to markets and education, employment, health care, recreation, and other key services …
On the perception of speech in primary school classrooms: Ranking of noise interference and of age influence
N Prodi, C Visentin, A Feletti - The Journal of the Acoustical Society of …, 2013 - pubs.aip.org
It is well documented that the interference of noise in the classroom puts younger pupils at a
disadvantage for speech perception tasks. Nevertheless, the dependence of this …
disadvantage for speech perception tasks. Nevertheless, the dependence of this …
Multivariate Fay-Herriot models for small area estimation with application to household consumption per capita expenditure in Indonesia
ABSTRACT Multivariate Fay-Herriot (MFH) models become popular methods to produce
reliable parameter estimates of some related multiple characteristics of interest that are …
reliable parameter estimates of some related multiple characteristics of interest that are …
Listening efficiency during lessons under various types of noise
N Prodi, C Visentin - The Journal of the Acoustical Society of America, 2015 - pubs.aip.org
Pupils inside primary school classrooms can be exposed to extraneous noise, impairing
their performance in the speech reception process. The different noises show a peculiar …
their performance in the speech reception process. The different noises show a peculiar …
Advances on multisample permutation tests for “V-shaped” and “U-shaped” alternatives with application to circular economy
Sample surveys and related inferential statistical methods are suitable tools to support
decision-making practices for policymakers. For instance, to achieve the environmental …
decision-making practices for policymakers. For instance, to achieve the environmental …
Simultaneous marginal homogeneity versus directional alternatives for multivariate binary data with application to circular economy assessments
S Bonnini, M Borghesi… - Applied Stochastic Models …, 2024 - Wiley Online Library
Commodity price volatility is a major source of instability in those countries that are primarily
commodity‐dependent and has a negative impact, especially on economic growth. With this …
commodity‐dependent and has a negative impact, especially on economic growth. With this …
Advances on Permutation Multivariate Analysis of Variance for big data
S Bonnini, GM Assegie - Statistics in Transition new series, 2022 - ceeol.com
In many applications of the multivariate analyses of variance, the classic parametric
solutions for testing hypotheses of equality in population means or multisample and …
solutions for testing hypotheses of equality in population means or multisample and …
Permutation testing for goodness-of-fit and stochastic ordering with multivariate mixed variables
Permutation tests are highly versatile non-parametric procedures that can be used to
address a wide set of statistical problems, without strict assumptions on data distribution …
address a wide set of statistical problems, without strict assumptions on data distribution …