Results 61 to 70 of about 231,426 (276)
Nonparametric Estimation of Range Value at Risk
Computation, 2023 Range value at risk (RVaR) is a quantile-based risk measure with two parameters. As special examples, the value at risk (VaR) and the expected shortfall (ES), two well-known but competing regulatory risk measures, are both members of the RVaR family. The
Suparna Biswas, Rituparna Sen
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Bayesian nonparametric estimation and consistency of mixed multinomial logit choice models [PDF]
, 2010 This paper develops nonparametric estimation for discrete choice models based on the mixed multinomial logit (MMNL) model. It has been shown that MMNL models encompass all discrete choice models derived under the assumption of random utility maximization,
De Blasi, Pierpaolo +2 more
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Arthritis Care &Research, EarlyView.Objective We aimed to compare clinical outcomes between patients in the Allegheny Health Network rheumatoid arthritis (RA) care pathway and patients receiving usual care. Methods The care pathway initiative implements guideline‐based best practice alongside multidisciplinary team‐based care.
Tarun Sharma +7 more
wiley +1 more source
Proceedings, 2018 Bootstrap methods are used for bandwidth selection in: (1) nonparametric kernel density estimation with dependent data (smoothed stationary bootstrap and smoothed moving blocks bootstrap), and (2) nonparametric kernel hazard rate estimation (smoothed ...
Inés Barbeito, Ricardo Cao
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Empirical likelihood for varying coefficient partially nonlinear model with missing responses
AIMS Mathematics, 2021 In this paper, we consider the statistical inferences for varying coefficient partially nonlinear model with missing responses. Firstly, we employ the profile nonlinear least squares estimation based on the weighted imputation method to estimate the ...
Liqi Xia +3 more
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Arthritis Care &Research, EarlyView.Objective The objectives of this study were to evaluate the correlation and agreement between ultrasonography and computed tomography (CT) in measuring ascending aorta diameter in patients with giant cell arteritis (GCA) and to investigate the development of new ascending aortic aneurysms in patients with newly diagnosed GCA.
Anne C. Bull Haaversen +4 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Objective Body mass index (BMI), glomerular filtration rate (GFR), and pretreatment urate levels have been reported to influence the urate‐lowering response to allopurinol. We investigated whether the fractional excretion of uric acid (FEUA) also modulates this response and relates to oxypurinol concentrations.
Pascal Richette +13 more
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Nonparametric Estimation of The Variogram an Application [PDF]
Kirkuk Journal of Science, 2017 This Research Deals with Non Parametric Estimation of Variogram Function . As it is known The Variogram Function is Considered As a very Important Parameter in Investigating The Spatial Dependence for The Spatial Stochastic Process .The Non ...
Taha Yaseen H, Mohammed N.I.Qassim
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Minimax and Adaptive Inference in Nonparametric Function Estimation [PDF]
, 2012 Since Stein's 1956 seminal paper, shrinkage has played a fundamental role in both parametric and nonparametric inference. This article discusses minimaxity and adaptive minimaxity in nonparametric function estimation.
Cai, T. Tony
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Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source