Results 41 to 50 of about 22,191,063 (377)
AIDS versus the Rotterdam Demand System: A Cox Test with Parametric Bootstrap
Journal of Agricultural and Resource Economics, 2002 A Cox test with parametric bootstrap is developed to select between the linearized version of the First-Difference Almost Ideal Demand System (FDAIDS) and the Rotterdam model.
Alix Dameus +3 more
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Bootstrapping monodromy defects in the Wess-Zumino model
Journal of High Energy Physics, 2022 We use analytical bootstrap techniques to study supersymmetric monodromy defects in the critical Wess-Zumino model. In preparation for this result we first study two related systems which are interesting on their own: general monodromy defects (no susy),
Aleix Gimenez-Grau, Pedro Liendo
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An extension of the statistical bootstrap model to include strangeness. Implications on particle ratios [PDF]
, 1997 The Statistical Bootstrap Model (SBM) is extended to describe hadronic systems which carry the quantum number of strangeness. The study is conducted in the three-dimensional space of temperature, up-down and strange chemical potentials, wherein the ...
A. Kapoyannis +2 more
semanticscholar +1 more source
Bootstrapping heteroskedastic regression models: wild bootstrap vs. pairs bootstrap [PDF]
Computational Statistics & Data Analysis, 2005 In regression models, appropriate bootstrap methods for inference robust to heteroskedasticity of unknown form are the wild bootstrap and the pairs bootstrap. The finite sample performance of a heteroskedastic-robust test is investigated with Monte Carlo experiments.
openaire +5 more sources
PLoS ONE, 2023 Machine learning methods are widely used within the medical field. However, the reliability and efficacy of these models is difficult to assess, making it difficult for researchers to identify which machine-learning model to apply to their dataset.
Alexander A. Huang, Samuel Y. Huang
semanticscholar +1 more source
PLoS ONE, 2017 Bootstrap methods are widely used in statistics, and bootstrapping of residuals can be especially useful in the regression context. However, difficulties are encountered extending residual resampling to regression settings where residuals are not ...
D. Warton +2 more
semanticscholar +1 more source
Communications for Statistical Applications and Methods, 2002 In this paper, we considered an application of the bootstrap method for logit model. Estimation of type I error probability, the bootstrap p-values and bootstrap confidence intervals of parameter were proposed. Small sample Monte Carlo simulation were conducted in order to compare proposed method with existing normal theory based asymptotic method.
Dae-hak Kim, Hyeong-Chul Jeong
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Bootstrap methods for inference in the Parks model
Economics: Journal Articles, 2020 This paper shows how to bootstrap hypothesis tests in the context of the Parks’s (1967) Feasible Generalized Least Squares estimator. It then demonstrates that the bootstrap outperforms FGLS(Parks)’s top competitor.
Moundigbaye Mantobaye +3 more
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Numerical bootstrap in quantum mechanics
Physics Letters B, 2021 We study the effectiveness of the numerical bootstrap techniques recently developed in [1] for quantum mechanical systems. We find that for a double well potential the bootstrap method correctly captures non-perturbative aspects.
Jyotirmoy Bhattacharya +4 more
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Environmental Health Perspectives, 2009 Background Concerns have been raised about findings of associations between particulate matter (PM) air pollution and mortality that have been based on a single “best” model arising from a model selection procedure, because such a strategy may ignore ...
S. Roberts, Michael A. Martin
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