Goodness-of-fit &amp; precision criteria

Bonakdari, Hossein; Zeynoddin, Mohammad

doi:10.1016/b978-0-323-91748-3.00003-3

Cited by 4 publications

(1 citation statement)

References 50 publications

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“…To proceed to the linear regressions' creation, the authors made sure that the dependent and independent variables followed the normal distribution. Moreover, the produced regression models were selected based on their Akaike criterion (Bonakdari & Zeynoddin, 2022), which implies that these models were the best-adapted ones to the dependent variables' variation.…”

Section: Statistical and Regression Analysismentioning

confidence: 99%

Search Engine Results Optimization for Supply Chain SMEs Through Digital Content Management and Fuzzy Cognitive Models

Sakas,

Giannakopoulos,

Panagiotou

et al. 2023

JCCE

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Throughout crises and financial prosperity, the role and influence of small and medium supply chain enterprises (SMEs) have been solid and key factors for the economic growth of global markets. Hence, a great need arises for digital promotion to keep up with recent technological advancements. Such an aim could be achieved by SMEs in the supply chain by optimizing the results of their websites in search engines and utilizing the digital content (DC) of their web pages. This research is focused on the optimization of supply chain SMEs' search engine results from the efficient management of their DC. The authors collected big data from the DC of five supply chain SMEs' websites and performed statistical analysis (correlation and linear regression analysis), followed by six fuzzy cognitive mapping simulation scenarios. Supply chain SMEs' customers enter their website and are found capable of producing DC metrics, originating from their interaction with the webpage, which is valuable for supply chain SMEs since they impact the performance of their search engine results. The outcomes of this study indicate that specific DC metrics, related to website customers' activity, can accurately simulate and predict the course of supply chain SMEs' digital marketing performance KPIs (global rank, organic, and paid traffic). It has been discerned that supply chain SMEs could enhance their search engine results, by increasing traffic originating from social sources, organic keywords, and the costs required for paid advertising campaigns. Accordingly, the increased number of pages opened by website visitors also indicates enhanced search engine results.

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Section: Statistical and Regression Analysismentioning

confidence: 99%

Search Engine Results Optimization for Supply Chain SMEs Through Digital Content Management and Fuzzy Cognitive Models

Sakas,

Giannakopoulos,

Panagiotou

et al. 2023

JCCE

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LED streetlight characteristics alter the functional composition of ground-dwelling invertebrates

van Koppenhagen,

Haller,

Kappeler

et al. 2024

Environmental Pollution

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Unveiling the Sociodemographic and Socioeconomic Determinants of Antenatal Care Utilization in Bangladesh: Insights from the 2017-18 BDHS

Sakib,

Alam,

Yasmin

et al. 2024

Preprint

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Background Antenatal care (ANC) is indispensable for supervising and enhancing the health of both the mother and the baby during pregnancy. It helps to reduce the risks of complications and ensures better pregnancy outcomes. This study investigates the aspects that influence antenatal care (ANC) visits in Bangladesh, focusing on sociodemographic and socioeconomic factors. Methods The study used the most current, nationally representative data from the 2017–18 Bangladesh Demographic and Health Survey (BDHS). Mann-Whitney and Kruskal-Wallis tests were conducted for bivariate analysis. The Boruta algorithm was utilized for variable selection. After employing various regression models, including Poisson Regression (PR), Negative Binomial Regression (NBR), and Multiple Linear Regression (MLR), we evaluated their performance and selected Negative Binomial Regression for parameter estimation and interpretation. Results Our results reveal that less than 50% of women meet the WHO-recommended minimum number of ANC visits. Women with secondary and higher education (IRR 1.42 & 1.46, 95% CI 1.28–1.56 & 1.31–1.64), Rich wealth status (IRR 1.13, 95% CI 1.07–1.19), Cesarian section (IRR 1.28, 95% CI 1.23–1.34), media coverage (IRR 1.20, 95% CI 1.14–1.25) were more likely to have frequent ANC visits. Conversely, women with higher birth order (IRR 0.94 & 0.82, 95% CI 0.89–0.99 & 0.75–0.91), unintentional pregnancy (IRR 0.92 & 0.85, 95% CI 0.87–0.97 & 0.79–0.92) were less likely to have ANC vists. Conclusion Given that the majority of women in Bangladesh do not receive adequate antenatal care, achieving national and international maternal and child health goals will be challenging. This study identified factors hindering access to high-quality prenatal care, which the Bangladeshi administration should address through focused actions.

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Goodness-of-fit & precision criteria

Cited by 4 publications

References 50 publications

Search Engine Results Optimization for Supply Chain SMEs Through Digital Content Management and Fuzzy Cognitive Models

Search Engine Results Optimization for Supply Chain SMEs Through Digital Content Management and Fuzzy Cognitive Models

LED streetlight characteristics alter the functional composition of ground-dwelling invertebrates

Unveiling the Sociodemographic and Socioeconomic Determinants of Antenatal Care Utilization in Bangladesh: Insights from the 2017-18 BDHS

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