427 papers
This paper proposes a new sine-based difference estimator for general population parameters under simple random sampling without replacement, deriving its theoretical bias and mean squared error while demonstrating through empirical and simulation analyses that it offers improved accuracy over existing competing estimators.
This paper proposes a novel two-lens hybrid framework that combines a weighted Resilience Capacity Index (RCI) with Self-Organizing Map (SOM) machine learning to create a multidimensional resilience measure that addresses key gaps in weighting, sensitivity analysis, validity, and configuration calculation without pre-assigned weights.
This paper develops a new OCD-component for Completely Randomized Designs (CRD) with six and certain odd replications using covariate entries within the interval [-1, +1] (excluding zero), thereby achieving D-optimality while enabling the independent estimation of treatment and covariate effects, a condition previously unattainable with standard ±1 entries or zero-valued covariates.
This study proposes a bivariate Gaussian–Gamma mixture model to effectively capture the non-Gaussian characteristics, skewness, and extreme events of Southwest Monsoon rainfall in Karnataka, India, demonstrating superior performance over conventional Gaussian models for flood risk assessment and drought monitoring.
This study employs a Bayesian mass-balance model with hierarchical extrapolation and rigorous hold-out validation on German wastewater data to estimate that national illicit amphetamine consumption in 2025 was approximately 16.8 tonnes, while highlighting significant discrepancies with traditional survey-based figures and demonstrating the critical need for monitoring smaller catchments to reduce estimation uncertainty.
Using linked administrative data from Greater Christchurch, this study demonstrates that higher earthquake intensity causes persistent long-term increases in psychiatric medication use, with effects mediated by employment disruption for working-age adults and unobserved social factors for the elderly, highlighting the need for differentiated recovery policies.
This scoping review identifies and summarizes various multiple imputation methods, including reference-based, retrieved dropout, return-to-baseline, and washout approaches, for handling missing data under the treatment policy strategy in randomized controlled trials, while mapping their underlying assumptions, limitations, and implementation to guide method selection and highlight areas for future research.
This study validates the Brief Religious Coping Scale (Brief RCOPE) for use among cancer patients in Southern Peru, confirming its two-factor structure, strong reliability, measurement invariance across demographic and clinical groups, and convergent validity with negative affect.
This paper proposes and validates a new Poisson regression-based estimator for the population mean under simple random sampling, demonstrating through theoretical analysis, empirical studies in environmental health and transportation safety, and simulations that it outperforms traditional ratio estimators in terms of mean square error.
This paper identifies and quantifies the bias introduced by exposure-outcome window overlaps in biomarker studies, demonstrating through simulations and a case study that standard analyses conflate prediction with contemporaneous severity, and proposes a reporting checklist to ensure transparency regarding latent event onsets and composite outcome components.