Homogeneity conditions on the statistical relevance model of explanation

1979 ◽  
Vol 36 (1) ◽  
pp. 101-105
Author(s):  
J/P. Thomas
Keyword(s):  
Statistical Relevance ◽  
Relevance Model

scholarly journals The Efficiency of Cooperation between the Participants in the Supply Chain in the Tourism-Related Branch of Industry in Relation to Client Satisfaction

2019 ◽  
Vol 11 (17) ◽  
pp. 4716 ◽  
Author(s):  
Katarzyna Kozicka ◽  
Sebastian Kot ◽  
I Gede Riana
Keyword(s):  
Supply Chain ◽  
Consumer Satisfaction ◽  
Client Satisfaction ◽  
Related Services ◽  
Specific Product ◽  
Goods And Services ◽  
Statistical Relevance ◽  
Tourism Supply Chain ◽  
Theoretical Considerations

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.

A relevance model for a data warehouse contextualized with documents

2009 ◽  
Vol 45 (3) ◽  
pp. 356-367 ◽  
Author(s):  
Juan Manuel Pérez ◽  
Rafael Berlanga ◽  
María José Aramburu
Keyword(s):  
Data Warehouse ◽  
Relevance Model

A Guided Mutation Operator for Dynamic Diversity Enhancement in Evolutionary Strategies

2014 ◽  
Vol 4 (2) ◽  
pp. 20-39
Author(s):  
José L. Guerrero ◽  
Antonio Berlanga ◽  
José M. Molina
Keyword(s):  
Search Space ◽  
Critical Issue ◽  
Population Diversity ◽  
Evolutionary Strategies ◽  
Mutation Operator ◽  
Local Optima ◽  
Guided Mutation ◽  
Statistical Relevance ◽  
Number Of Cycles ◽  
Diversity Enhancement

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

scholarly journals Consumer attitudes towards the mountain product label: Implications for mountain development

2021 ◽  
Vol 18 (9) ◽  
pp. 2255-2272
Author(s):  
Ivana Bassi ◽  
Matteo Carzedda ◽  
Luca Grassetti ◽  
Luca Iseppi ◽  
Federico Nassivera
Keyword(s):  
Purchase Intention ◽  
Geographical Origin ◽  
Consumer Attitudes ◽  
Purchase Intentions ◽  
Product Label ◽  
The European Union ◽  
Latent Constructs ◽  
Statistical Relevance ◽  
Marketing Actions ◽  
Mountain Development

AbstractTo protect and promote the originality and authenticity of mountain foodstuffs, the European Union set Regulation No 1151/2012 to create the optional quality term “mountain product”. Our research aimed at exploring the attractiveness of the mountain product label for consumers, considering both attitude towards the label itself and purchase intentions. We propose a model to investigate relationships between four latent constructs — mountain attractiveness, mountain food attractiveness, attitude towards the mountain product label, and purchase intention — which have been tested, thus confirming the statistical relevance of the relationships. All 47 items selected for describing the latent constructs are suitable for this purpose. Ridge and LASSO results also show that 17 items of the first three constructs are relevant in explaining purchase intentions. Some contextual variables, such as age, income, geographical origin of consumers, and knowledge of mountain products and mountains for tourism purposes, can positively influence consumers’ behavior. These findings could support the design of mountain development strategies, in particular marketing actions for both the product and the territory.

scholarly journals Revisiting the statistical analysis of pyroclast density and porosity data

2015 ◽  
Vol 7 (1) ◽  
pp. 1077-1095 ◽  
Author(s):  
B. Bernard ◽  
U. Kueppers ◽  
H. Ortiz
Keyword(s):  
Grain Size ◽  
Volcanic Eruptions ◽  
Large Datasets ◽  
Grain Size Analysis ◽  
Size Analysis ◽  
Statistical Tools ◽  
Statistical Relevance ◽  
Volcanic Deposits ◽  
Working Groups ◽  
Explosive Volcanic Eruptions

Abstract. Explosive volcanic eruptions are commonly characterized based on a thorough analysis of the generated deposits. Amongst other characteristics in physical volcanology, density and porosity of juvenile clasts are some of the most frequently used characteristics to constrain eruptive dynamics. In this study, we evaluate the sensitivity of density and porosity data and introduce a weighting parameter to correct issues raised by the use of frequency analysis. Results of textural investigation can be biased by clast selection. Using statistical tools as presented here, the meaningfulness of a conclusion can be checked for any dataset easily. This is necessary to define whether or not a sample has met the requirements for statistical relevance, i.e. whether a dataset is large enough to allow for reproducible results. Graphical statistics are used to describe density and porosity distributions, similar to those used for grain-size analysis. This approach helps with the interpretation of volcanic deposits. To illustrate this methodology we chose two large datasets: (1) directed blast deposits of the 3640–3510 BC eruption of Chachimbiro volcano (Ecuador) and (2) block-and-ash-flow deposits of the 1990–1995 eruption of Unzen volcano (Japan). We propose add the use of this analysis for future investigations to check the objectivity of results achieved by different working groups and guarantee the meaningfulness of the interpretation.

scholarly journals Solubility parameters analysis of Eucalyptus urograndis kraft lignin

BioResources ◽  
2020 ◽  
Vol 15 (4) ◽  
pp. 8577-8600
Author(s):  
William C. O. Ribeiro ◽  
Vinícius Lobosco ◽  
Patrícia F. M. Martinez
Keyword(s):  
Organic Solvents ◽  
Kraft Lignin ◽  
Added Value ◽  
Solubility Parameters ◽  
Direct Production ◽  
Solvent Fractionation ◽  
Statistical Relevance ◽  
Wide Range ◽  
Effective Development ◽  
Eucalyptus Urograndis

Lignin has gained momentum as a renewable material because it is the largest natural source that can provide aromatic compounds in a wide range of applications. However, its heterogeneity in terms of high polydispersity molar mass distribution and variety of functional groups has limited the direct production of added-value lignin-derivatives. Among the alternatives to obtain more homogeneous lignin cuts is solvent fractionation. However, it is not well understood how different solvents influence lignin partition, and thus it is difficult to establish a rational solvent order to perform it. Thus, the purpose of this work was to understand Eucalyptus urograndis kraft lignin partition in organic solvents through the application of three solubility parameter theories: Hildebrand, Hansen (HSP), and Functional (FSP). Through the theories studied, FSP provided the best representation of lignin partition in organic solvents. In addition, the influence of solvents’ solubility parameters on lignin solubility was investigated by multiregression analyses, which revealed that only the polar solvent parameter showed statistical relevance to describe lignin solubility. The results of this work may contribute to the effective development of technical lignins’ fractionation, allowing the production of higher-value lignin derivatives, increasing the profitability of biorefineries, and establishing a sustainable bio-based economy.

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