Results 41 to 50 of about 2,562,360 (318)
Background and objective: Significant variability in the quality of healthcare supplied by hospitals is drawing broad attention from the United States Centers for Medicare and Medicaid Services. The primary issue is to evaluate hospital performance based
Yakun Liang, Xuejun Jiang, Bo Zhang
doaj +1 more source
Empirical-Likelihood-Based Inference for Partially Linear Models
Partially linear models find extensive application in biometrics, econometrics, social sciences, and various other fields due to their versatility in accommodating both parametric and nonparametric elements.
Haiyan Su, Linlin Chen
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Design and application of a robust multivariate control chart for gas PE pipe production [PDF]
In the production of gas polyethylene (PE) pipelines, quality characteristics such as ovality, outer diameter, and wall thickness often exhibit unknown distributions and complex inter-variable correlations. Traditional parametric control charts are prone
Ye Fan +6 more
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Phylogenetic inference and evaluating support for inferred relationships is at the core of many studies testing evolutionary hypotheses. Despite the popularity of nonparametric bootstrap frequencies and Bayesian posterior probabilities, the ...
M. Anisimova +4 more
semanticscholar +1 more source
Wilcoxon Nonparametric CFAR Scheme for Ship Detection in SAR Image
The parametric constant false alarm rate (CFAR) detection algorithms, which are based on various statistical distributions, such as Gaussian, Gamma, Weibull, log-normal, $G^{0}$, and alpha-stable distribution, are most widely used to detect the ship ...
Xiangwei Meng
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Forecast Combination under Heavy-Tailed Errors
Forecast combination has been proven to be a very important technique to obtain accurate predictions for various applications in economics, finance, marketing and many other areas.
Gang Cheng, Sicong Wang, Yuhong Yang
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Dwarf Mongoose Optimization Metaheuristics for Autoregressive Exogenous Model Identification
Nature-inspired metaheuristic algorithms have gained great attention over the last decade due to their potential for finding optimal solutions to different optimization problems.
Khizer Mehmood +6 more
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Nonparametric Estimation of Uncertainty Sets for Robust Optimization [PDF]
We investigate a data-driven approach to constructing uncertainty sets for robust optimization problems, where the uncertain problem parameters are modeled as random variables whose joint probability distribution is not known. Relying only on independent samples drawn from this distribution, we provide a nonparametric method to estimate uncertainty ...
Polina Alexeenko, Eilyan Bitar
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Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen +11 more
wiley +1 more source
Adversarial Robustness of Nonparametric Regression
25 pages, 6 ...
Parsa Moradi +2 more
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