A multiblock PLS‐based algorithm applied to a causal model in marketing

Francés, David Servera; Arteaga, Francisco; Saura, Irene Gil; Gallarza, Martina G.

doi:10.1002/asmb.1913

Cited by 4 publications

(2 citation statements)

References 86 publications

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“…Soft modeling provides such possibilities [44]. The soft model is composed of an internal model (theoretical) and an external model (measures) [44][45][46][47][48][49][50][51]. Those models are simultaneously used in the process of parameter estimation-they are connected with one another.…”

Section: Methodsmentioning

confidence: 99%

The Analysis of Public Funds Utilization Efficiency for Climate Neutrality in the European Union Countries

Dębkowska

Dymek

Kutwa³

et al. 2022

Energies

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The aim of this article was to assess the efficiency of the utilization of public funds for climate neutrality. It was concluded that the data gathered in public statistics are not adapted to current challenges and hinder the direct measurement of climate policy objective implementation progress. Due to that, an innovative approach to public intervention efficiency analysis was proposed for the sake of decreasing CO2 emission in 27 European Union (EU) countries, based on Data Envelopment Analysis (DEA) method and soft modeling. Statistical data are derived from the Eurostat database and pertain to the years 2005–2019. It was demonstrated that activity efficiency of the particular EU countries on climate neutrality varied and that together with the increase in public funds spent on environmental protection, the growth of effects in the field of reaching climate neutrality objectives was not observed. The greatest positive impact on achieving climate neutrality objectives was revealed for activities connected with building renewable sources of energy (RES) and there was no correlation detected for expenditures connected with transport infrastructure, which means that public funds used for their construction did not influence climate neutrality. It was established that, in the analyzed period, the decisions on allocating public funds were not taken on the basis of the expected amount of reduction in relation to the volume of outlays. In order to track the reasons for detected inefficiency, 52 projects were analyzed within the case study, which covered 3738 investments in the replacement of heating sources in one region of Poland. It was revealed that the efficiency of those investments varies; however, due to the full availability of data of the acquired results and outlays devoted to them, a synthetic index of efficiency measurement was established that presents the amount of CO2 reduction for EUR 1. When comparing the analyses carried out on macro and micro scales, it was observed that on the scale of the EU, there is a lack of uniform measurements or benchmarks of projects in the field of CO2 emissions reduction. Meanwhile, from the whole EU’s perspective, it should be reasonable to undertake projects with the highest economic efficiency, irrespective of political and geographical aspects. The results obtained should be utilized by decision-makers to elaborate reference methodologies and good practices in order to successfully implement climate objectives and especially the Energy Performance of Buildings Directive (EPBD). What should be established are universal, on the EU scale, measurements and rules for gathering and counting data as well as benchmarks for the particular project types.

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Section: Methodsmentioning

confidence: 99%

The Analysis of Public Funds Utilization Efficiency for Climate Neutrality in the European Union Countries

Dębkowska

Dymek

Kutwa³

et al. 2022

Energies

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“…170-1722Rogowski, 1990;Rogowski, 2002, pp. 23-34;Servera-Francés et al, 2013;Tenenhaus et al, 2005, pp. 159-205;Wold, 1980].…”

Section: The Specification Of the Soft Model Of The Impact Of Sustainunclassified

The importance of sustainable urban mobility in shaping the quality of life of the inhabitants of functional urban areas

Perło

2020

Optimum

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Purpose – The aim of this article is to examine the impact of sustainable urban mobility on the quality of life of inhabitants of functional urban areas. A thesis has been posed about the important relationship between them. Research method – The article uses the method of soft modelling, which enables the study of the relationships between the hidden variables. Statistical data used in the empirical study concerns the Bialystok Functional Area. Results – As a result of the conducted research and analyses, key determinants of sustainable urban mobility and quality of life were determined, the most important threats related to environmental degradation were identified as well as innovative solutions for sustainable urban mobility that should be implemented in order to effectively manage resources and protect them for the future generations were found. Originality /value – Key research results can be useful in the process of developing Sustainable Urban Mobility Plans.

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PLS-based hellinger distance method for fault detection in chemical engineering systems

Ramakrishna Kini,

Harrou,

Madakyaru

et al. 2024

Eng. Res. Express

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Fault detection is vital in chemical engineering systems to maintain operational efficiency, product quality, and safety through timely identification and correction of deviations from expected behavior. Although partial least squares (PLS) has proven effective in monitoring due to its ability to handle highly correlated variables, traditional detection metrics of PLS may fail to identify small abnormal changes as they rely solely on recent observations. This paper integrates PLS modeling framework with Hellinger Distance (HD)-based fault detection index to overcome the limitations of conventional detection metrics. The utilization of HD is motivated by its sensitivity to quantifying any dissimilarity between distributions, which makes it well-suited for detecting small deviations in process behavior. The HD-based index will be computed between the residuals obtained from the model in the offline stage and the online stage. The HD metric involves careful inspection and comparison of the residuals, which enables it to capture the sensitive details in the data, thus, enhancing the detection of faults. For increased flexibility, kernel density estimation is employed to establish the reference threshold of the PLS-HD approach. The performance of this approach will be evaluated using data from simulated Continuous Stirred Tank Heater (CSTH) and Continuous Stirred-Tank Reactor (CSTR) processes, by considering various fault types such as bias, freezing, and sensor drift faults. The results demonstrate the superior performance of the proposed PLS-HD approach compared to conventional PLS monitoring methods.

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A multiblock PLS‐based algorithm applied to a causal model in marketing

Cited by 4 publications

References 86 publications

The Analysis of Public Funds Utilization Efficiency for Climate Neutrality in the European Union Countries

The Analysis of Public Funds Utilization Efficiency for Climate Neutrality in the European Union Countries

The importance of sustainable urban mobility in shaping the quality of life of the inhabitants of functional urban areas

PLS-based hellinger distance method for fault detection in chemical engineering systems

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