Statistical Explanation and Statistical Relevance. Wesley C. Salmon , R. C. Jeffrey , J. G. Greeno

Isis ◽  
1974 ◽  
Vol 65 (3) ◽  
pp. 403-404
Author(s):  
G. M. K. Hunt
2019 ◽  
Vol 11 (17) ◽  
pp. 4716 ◽  
Author(s):  
Katarzyna Kozicka ◽  
Sebastian Kot ◽  
I Gede Riana

Managing a tourism supply chain is predominantly focused on managing a tourism-specific product that can be perceived as all kinds of goods and services utilized by tourists during their trips. The predominant goal of this article is to empirically identify the level of engagement of entities operating in the tourism-oriented branch of industry concerning the satisfaction of end-customers with the offered tourism-related services and products. Within the scope of this study, the statistical relevance of elements of active cooperation within a tourism-specific supply chain was analyzed. Empirical examinations covered the assessment of the cooperation within the framework of the tourism-oriented supply chain and its impact on consumer satisfaction. A research questionnaire was utilized to meet examination-specific goals. Theoretical considerations and the analysis of branches of industry in relation to the available statistical data showed that tourist-oriented supply chain covers various entities, the engagement of which may have a factual impact on the efficiency of managing the entire chain, as well as on the overall client satisfaction, improving tourism sustainability. The obtained results clearly showed that the examined entities considered the analyzed cooperation aspects to be very important with regard to the supply chain management. Said aspects included the total length of cooperation within the framework of a particular supply chain, which, according to the examined entities, directly translated into the quality of cooperation—to either significant or very significant extent, as well as making it much easier to solve certain problems that were strictly connected with the provision of tourism-oriented services. Yet another aspect of cooperation that was touched upon was the transfer of the so-called know-how between the entities engaged in a given supply chain. As proven by the examination, 70% of the surveyed entities claimed that it was of significant or very significant importance. The last analyzed aspect of cooperation were relations between the supply chain-specific partners and their impact on the satisfaction of end customers. According to over half of the sample (61.54%), decent relations between supply chain participants affected the satisfaction of end customers to a notable extent.


2014 ◽  
Vol 4 (2) ◽  
pp. 20-39
Author(s):  
José L. Guerrero ◽  
Antonio Berlanga ◽  
José M. Molina

Diversity in evolutionary algorithms is a critical issue related to the performance obtained during the search process and strongly linked to convergence issues. The lack of the required diversity has been traditionally linked to problematic situations such as early stopping in the presence of local optima (usually faced when the number of individuals in the population is insufficient to deal with the search space). Current proposal introduces a guided mutation operator to cope with these diversity issues, introducing tracking mechanisms of the search space in order to feed the required information to this mutation operator. The objective of the proposed mutation operator is to guarantee a certain degree of coverage over the search space before the algorithm is stopped, attempting to prevent early convergence, which may be introduced by the lack of population diversity. A dynamic mechanism is included in order to determine, in execution time, the degree of application of the technique, adapting the number of cycles when the technique is applied. The results have been tested over a dataset of ten standard single objective functions with different characteristics regarding dimensionality, presence of multiple local optima, search space range and three different dimensionality values, 30D, 300D and 1000D. Thirty different runs have been performed in order to cover the effect of the introduced operator and the statistical relevance of the measured results


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