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Analyzing the Effect of Factors on Individuals’ Subjective Well-Being with Quantile Bayesian Structural Equation Modeling Approach
Published 2024-12-01“…The aim is to understand how these domains affect various quantile values of subjective well-being. To achieve this, the Life Satisfaction Survey dataset for 2020, obtained from the Turkish Statistical Institute, was utilized, and Bayesian Quantile Structural Equation Modeling and Bayesian Structural Equation Modeling methods were applied. …”
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Educational investment, technological innovation, and atmospheric environmental ffficiency: evidence from SBM-DEA and quantile regression model
Published 2025-08-01“…IntroductionThe scientific measurement of urban atmospheric environmental efficiency is a vital prerequisite for achieving air pollution control and regional green high-quality development.MethodsBased on the data of 11 cities in Zhejiang Province from 2014 to 2022, this study calculates the synergistic governance environmental efficiency (SGEE) of PM2.5 and O3 from both static and dynamic perspectives. Furthermore, a quantile regression model (QRM) is employed to reveal the impact mechanisms of educational investment and technological innovation on the efficiency.ResultsThe results show that: (1) there are significant spatio-temporal variations in the concentrations of PM2.5 and O3 among the 11 cities. …”
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New lifetime Shanker Weibull distribution: Structure and Properties
Published 2025-04-01Get full text
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New Lifetime Alpha Power Exponential Weibull Distribution: Structure and Properties
Published 2025-07-01Get full text
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Associations of urinary caffeine metabolites with sex hormones: comparison of three statistical models
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Bayesian Analysis of Skills Importance in World Champions Men’s Volleyball across Ages
Published 2019-07-01Get full text
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Spatial Characteristics and Determinants of In-situ and Nearby Mobility of Floating Population: A New Exploration Based on the Seventh Census Data in Fujian Province
Published 2025-05-01“…The quantile model and QAP analysis method were adopted to identify the main factors influencing this spatial agglomeration characteristic and the flow network structure characteristics from five perspectives: economic income, employment opportunities, public services, family characteristics, and geographical location. …”
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Knowledge regarding human monkeypox among a sample of undergraduate and post-graduate students from selected tertiary institutions in Bangladesh: An online-based cross-sectional st...
Published 2024-01-01“…The Kruskal-Wallis test, Mann-Whitney test, and multivariable quantile regression model were employed.<h4>Results</h4>The median age of the study participants was 23 years (IQR: 25-22). …”
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