Factors Influencing on University Reputation: Model Selection by AIC

Khoi, Bui Huy

doi:10.1007/978-3-030-48853-6_13

Cited by 10 publications

(2 citation statements)

References 25 publications

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“…To further assess the accuracy and predictive capability of the three models, the Akaike information criterion (AIC) is introduced [38]. AIC, based on the maximum entropy method, enables the comparison of differences between models and can be expressed as equation (10).…”

Section: Model Selectionmentioning

confidence: 99%

Remaining useful life prediction of ball screw based on integrating preload and precision

Zhang,

Zhou,

Nie

et al. 2023

Meas. Sci. Technol.

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Ball screw remaining useful life (RUL) prediction is of great interest to industry and academia. However, the lack of a reliable prediction model limits accuracy. To address this, a hybrid method that combines physical-based and data-driven methods is proposed. A novel integrated index is developed to capture wear degradation by integrating the preload and precision parameters, and the optimum partitioning method is used for wear stage categorization. A physical-based method of a two-stage empirical model is constructed to characterize the randomness and nonlinearity of the degradation process. Model parameters are initialized and updated using particle filtering (PF) through a data-driven method for RUL prediction. To address discontinuous predictions in the empirical model, the random forest with PF (RF-PF) method is employed. The effectiveness of this approach is evaluated through experiments and comparisons with other methods.

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Section: Model Selectionmentioning

confidence: 99%

Remaining useful life prediction of ball screw based on integrating preload and precision

Zhang,

Zhou,

Nie

et al. 2023

Meas. Sci. Technol.

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“…Kaushal et al, (2021) stated that university reputation has its key antecedents such as image, perceived quality, perceived value, satisfaction and attachment. While Khoi (2020) added, the model selection of Akaike's Information Criteria (AIC) showed that university reputation was impacted by the six components of the university reputation included: social contributions (SCN), environments (EN), leadership (LE), funding (FU), research and development (RD), and students guidance (SG). Aspects including size, faculty, and students' living condition (salaries and graduation rates) are seen as relevant in the university reputation measurement scales.…”

Section: University Reputationmentioning

confidence: 99%

Social Media Impact on University Reputation and Enrollment

Abdol Ghani,

Wan Mohamad Nawi,

Husain

2023

I-iECONS

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This study examines the influence of social media on university reputation and enrolment, specifically focusing on private universities in the Klang Valley. As digital communication continues to permeate every aspect of society, higher education institutions must adapt to remain competitive and attract prospective students. The primary objective of this research is to explore the relationship between a university's online presence and students' enrolment decisions. A quantitative survey method was employed, drawing a representative sample of students from private universities in the Klang Valley. Data were collected using a structured questionnaire that assessed students' perceptions of university reputation, social media usage, and the role of online presence in their enrolment choices. Preliminary findings indicate a positive correlation between an institution's social media presence and both its perceived reputation and enrolment rates. The study highlights the significance of effective social media strategies for private universities, emphasizing the need for institutions to leverage digital platforms to enhance their reputation and attract potential students. Further research is recommended to explore the long-term impact of social media on university performance and student success.

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AIC Algorithm for Entrepreneurial Intention in Covid19 Pandemic

Ngân

Khoi

2022

International Series in Operations Research &Amp; Management Science

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Factors Influencing on University Reputation: Model Selection by AIC

Cited by 10 publications

References 25 publications

Remaining useful life prediction of ball screw based on integrating preload and precision

Remaining useful life prediction of ball screw based on integrating preload and precision

Social Media Impact on University Reputation and Enrollment

AIC Algorithm for Entrepreneurial Intention in Covid19 Pandemic

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