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stat

85 papers

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Integrated Yield and Demand Forecasting for Air Cargo in MEASA Emerging Markets: A Multi-Method Statistical Framework

This paper presents an integrated statistical framework combining OLS, SUR, ARIMAX, and Random Forest models within a Power BI environment to enhance air cargo yield and demand forecasting in MEASA emerging markets by addressing geopolitical disruptions, non-linear load factor interactions, and commodity mix dynamics while mathematically bridging academic modeling with commercial reporting metrics.

Shaista Kanwal2026-07-02
📊 statistics

Stability and Interrelationships of Classical Test Theory Indicators Under Varying Difficulty Conditions: A Monte Carlo Simulation Study

This Monte Carlo simulation study demonstrates that under structural independence, Classical Test Theory item-level indicators exhibit mathematically determined relationships—such as the perfect functional equivalence of binary item statistics and the stability of discrimination-total correlations across difficulty levels—while test-level reliability remains low due to the absence of inter-item covariance.

Ammar Yasser2026-07-02
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Logistics-driven proactive drone epidemic intervention model

This paper proposes a logistics-driven proactive epidemic intervention model that integrates an RM-SIR mathematical framework with an intelligent drone delivery system to enable precise, rural-prioritized resource scheduling, effectively transforming logistics from a passive transport function into an active epidemic control tool that significantly reduces outbreak peaks and duration while maintaining high cost-effectiveness.

Jiaen Zheng2026-07-02
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Statistical Advances in Nonparametric Estimation through Artificial Intelligence Techniques

This paper surveys the theoretical and practical integration of artificial intelligence techniques, such as deep learning and reinforcement learning, into nonparametric estimation to address high-dimensional challenges and complex dependencies in fields like medicine and economics, while critically examining trade-offs between interpretability, computational cost, and statistical guarantees.

Sthitadhi Das2026-07-02
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Trust in Health Information Sources and Perceived Climate Change Health Risks: Evidence from the 2022 and 2024 Health Information National Trends Survey

Using data from the 2022 and 2024 Health Information National Trends Survey, this study reveals that trust in government health agencies is the strongest predictor of perceiving climate change as a health risk, while trust in scientists shows a weaker, diminishing association over time and trust in doctors is not a significant factor.

Miyeon Kim2026-07-01
📊 statistics

A New Pareto-Type Family via the Right-Sided Riemann–Liouville Fractional Integral: Properties and Applications

This paper introduces a new flexible family of Pareto-type distributions generated via the right-sided Riemann–Liouville fractional integral operator, which offers a theoretically grounded mechanism for regulating tail behavior and demonstrates superior performance in modeling heavy-tailed real-world data compared to existing models.

Kamaldeen Olomoda ISIAK, AKEYEDE Imam, Yunus MUSA Olatunji, OYETAYO Oyebisi, Muhammad Abiodun SULAIMAN2026-07-01
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Real-world performance of large-scale propensity score adjustment strategies: Matching, weighting, and stratification

This study evaluates large-scale propensity score adjustment strategies across four national healthcare databases and concludes that inverse probability of treatment weighting with Crump trimming and 1:1 matching generally offer the best performance, though no single strategy is universally superior, necessitating the use of diagnostics and empirical calibration to guide selection.

Kelly M Li, Martijn J Schuemie, Patrick B Ryan, Linying Zhang, Yong Chen, Kashish Priyam, Nicole Pratt, George Hripcsak (…)2026-07-01