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United States digital divide : state level analysis of spatial clustering and multivariate determinants of lCT utilization
Pick, James B.; Sarkar, Avijit; Johnson, Jeremy - In: Socio-economic planning sciences : the international … 49 (2015), pp. 16-32
Persistent link: https://www.econbiz.de/10010510748
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Robust multivariate analysis for mixed-type data : novel algorithm and its practical application in socio-economic research
Grané, Aurea; Salini, Silvia; Verdolini, Elena - In: Socio-economic planning sciences : the international … 73 (2021), pp. 1-8
Persistent link: https://www.econbiz.de/10012496481
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A data-driven approach to scheduling the U.S. presidential primary elections
Saltzman, Robert M.; Bradford, Richard M. - In: Socio-economic planning sciences : the international … 79 (2022), pp. 1-10
Persistent link: https://www.econbiz.de/10013327224
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A multi-criteria and stochastic robustness analysis approach to compare nations sustainability
Pereira, Javier; Contreras, Pedro; Morais, Danielle Costa; … - In: Socio-economic planning sciences : the international … 80 (2022), pp. 1-14
Persistent link: https://www.econbiz.de/10013191281
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Revisiting Gini for equitable humanitarian logistics
Alem, Douglas; Caunhye, Aakil M.; Moreno, Alfredo - In: Socio-economic planning sciences : the international … 82 (2022) 2, pp. 1-15
Persistent link: https://www.econbiz.de/10013363593
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Multi-criteria ordered clustering of countries in the Global Health Security Index
Pereira, Javier; Contreras, Pedro; Morais, Danielle Costa; … - In: Socio-economic planning sciences : the international … 84 (2022), pp. 1-12
Persistent link: https://www.econbiz.de/10013489388
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Indicators of sustainable forest management to evaluate the socio-economic functions of coppice in Tuscany, Italy
Riccioli, F.; Fratini, R.; Marone, Enrico; Fagarazzi, C.; … - In: Socio-economic planning sciences : the international … 70 (2020), pp. 1-12
Persistent link: https://www.econbiz.de/10012242383
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Construct a composite indicator based on integrating Common Weight Data Envelopment Analysis and principal component analysis models : an application for finding development degree...
Omrani, Hashem; Valipour, Mahsa; Mamakani, Saeid Jafari - In: Socio-economic planning sciences : the international … 68 (2019), pp. 1-11
Persistent link: https://www.econbiz.de/10012146282
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Identification of backward district in India by applying the principal component analysis and fuzzy approach : a census based study
Basu, Tirthankar; Das, Arijit - In: Socio-economic planning sciences : the international … 72 (2020), pp. 1-14
Persistent link: https://www.econbiz.de/10012416173