The Performance of Ramsey Test, White Test and Terasvirta Test in Detecting Nonlinearity

Prabowo, Hendri; Suhartono, Suhartono; Prastyo, Dedy Dwi

doi:10.12962/j27213862.v3i1.6876

Cited by 9 publications

(3 citation statements)

References 9 publications

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“…The results indicated an insignificant relationship for all the quadratic effects. Second, Ramsey's (1969) regression equation specification error test was used (Prabowo et al, 2020). The p ‐value of the F ‐change for the model is .154 (not significant); therefore, we failed to reject the null hypothesis, which says linearity is present.…”

Section: Resultsmentioning

confidence: 99%

“…Despite the numerous advantages of PLS-SEM, it is not without flaws; it is not fully proofed, and therefore, complementary methods for assessing the robustness of PLS-SEM results have been proposed (Latan, 2018). specification error test was used (Prabowo et al, 2020). The p-value of the F-change for the model is .154 (not significant); therefore, we failed to reject the null hypothesis, which says linearity is present.…”

Section: Robustness Checkmentioning

confidence: 97%

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Circular economy, customer citizenship behaviour and firm performance: Some empirical evidence

Aryee,

Alfa,

Acquah

et al. 2024

Bus Strat Dev

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Determining the motivations behind adopting a circular economy (CE) and its effect on firm performance (FP) from the perspective of manufacturing firms has become essential for practitioners and scholars. Nonetheless, there exists a substantial unexplored gap regarding how customer citizenship behaviour (CCB) motivates and influences the adoption of CE practices and FP of manufacturing firms in the context of developing countries. Therefore, using insights from the social exchange theory, this study explores the framework through which CCB influences the relationship between CE practices and FP. The study employed a quantitative approach and partial least square structural equation modelling technique to analyse data and interpretations due to its appropriateness for predictive research models. Data was collected using a survey research strategy. The findings revealed that CCB mediates and moderates the relationship between CE practices and FP. The study highlights the significance of CCB in making CE initiatives mandatory for organisational growth while guiding managers, policymakers and scholars.

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Section: Resultsmentioning

confidence: 99%

Section: Robustness Checkmentioning

confidence: 97%

Circular economy, customer citizenship behaviour and firm performance: Some empirical evidence

Aryee,

Alfa,

Acquah

et al. 2024

Bus Strat Dev

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show abstract

“…White test [71,72] is based on a neural network for neglected non-linearity, which uses hidden layers to detect the relationship between time series vectors. The network is defined as…”

Section: • White Testmentioning

confidence: 99%

Healthcare Sustainability: Hospitalization Rate Forecasting with Transfer Learning and Location-Aware News Analysis

Chen,

Creamer,

Ning

et al. 2023

Sustainability

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Monitoring and forecasting hospitalization rates are of essential significance to public health systems in understanding and managing overall healthcare deliveries and strategizing long-term sustainability. Early-stage prediction of hospitalization rates is crucial to meet the medical needs of numerous patients during emerging epidemic diseases such as COVID-19. Nevertheless, this is a challenging task due to insufficient data and experience. In addition, relevant existing work neglects or fails to exploit the extensive contribution of external factors such as news, policies, and geolocations. In this paper, we demonstrate the significant relationship between hospitalization rates and COVID-19 infection cases. We then adapt a transfer learning architecture with dynamic location-aware sentiment and semantic analysis (TLSS) to a new application scenario: hospitalization rate prediction during COVID-19. This architecture learns and transfers general transmission patterns of existing epidemic diseases to predict hospitalization rates during COVID-19. We combine the learned knowledge with time series features and news sentiment and semantic features in a dynamic propagation process. We conduct extensive experiments to compare the proposed approach with several state-of-the-art machine learning methods with different lead times of ground truth. Our results show that TLSS exhibits outstanding predictive performance for hospitalization rates. Thus, it provides advanced artificial intelligence (AI) techniques for supporting decision-making in healthcare sustainability.

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Predictive modelling of cohesion and friction angle of soil using gene expression programming: a step towards smart and sustainable construction

Nawaz,

Alshameri,

Maqsood

et al. 2024

Neural Comput & Applic

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The Performance of Ramsey Test, White Test and Terasvirta Test in Detecting Nonlinearity

Cited by 9 publications

References 9 publications

Circular economy, customer citizenship behaviour and firm performance: Some empirical evidence

Circular economy, customer citizenship behaviour and firm performance: Some empirical evidence

Healthcare Sustainability: Hospitalization Rate Forecasting with Transfer Learning and Location-Aware News Analysis

Predictive modelling of cohesion and friction angle of soil using gene expression programming: a step towards smart and sustainable construction

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