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Smoothed Bootstrap und seine Anwendung in parametrischen Testverfahren
GMS Medizinische Informatik, Biometrie und Epidemiologie, 2015 In empirical research, the distribution of observations is usually unknown. This creates a problem if parametric methods are to be employed. The functionality of parametric methods relies on strong parametric assumptions. If these are violated the result
Handschuh, Dmitri, Bobrov, Pavel
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Computationally Efficient Bootstrap Expressions for Bandwidth Selection in Nonparametric Curve Estimation [PDF]
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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Nonparametric bootstrap confidence bands for unfolding sphere size distributions [PDF]
Opuscula Mathematica, 2021 The stereological inverse problem of unfolding the distribution of spheres radii from measured planar sections radii, known as the Wicksell's corpuscle problem, is considered.
Jakub Wojdyła
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AUTOMATIC IDENTIFICATION OF DYSPHONIAS USING MACHINE LEARNING ALGORITHMS
Applied Computer Science, 2023 Dysphonia is a prevalent symptom of some respiratory diseases that affects voice quality, even for prolonged periods. For its diagnosis, speech-language pathologists make use of different acoustic parameters to perform objective evaluations on patients ...
Miguel Angel BELLO RIVERA +4 more
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Bootstrap of residual processes in regression: to smooth or not to smooth? [PDF]
Biometrika, 2019 In this paper we consider a location model of the form $Y = m(X) + \varepsilon$, where $m(\cdot)$ is the unknown regression function, the error $\varepsilon$ is independent of the $p$-dimensional covariate $X$ and $E(\varepsilon)=0$. Given i.i.d. data $(X_1,Y_1),\ldots,(X_n,Y_n)$ and given an estimator $\hat m(\cdot)$ of the function $m(\cdot)$ (which ...
Neumeyer, N, Van Keilegom, I
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Agriculture, 2020 A single and a double bootstrap of data envelopment analysis examines Harran Plain cotton farming in Turkey. The single bootstrap technique was employed to derive the bias-corrected efficiency values under both constant returns to scale (CRS) and versus ...
Tamer Işgın +4 more
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Smooth bootstrapping of copula functionals
Electronic Journal of Statistics, 2022 The smooth bootstrap for estimating copula functionals in small samples is investigated. It can be used both to gauge the distribution of the estimator in question and to augment the data. Issues arising from kernel density and distribution estimation in the copula domain are addressed, such as how to avoid the bounded domain, which bandwidth matrix to
Coblenz, Maximilian +3 more
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Modeling the Public Transport Networks: A Study of Their Efficiency
Complexity, 2021 The public transportation network (PTN) provides mobility and access to community resources, employment, medical care, infrastructures, and other resources in the city.
Mary Luz Mouronte-López
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On Smoothing and the Bootstrap
The Annals of Statistics, 1989 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hall, Peter +2 more
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Two‐sample problems in statistical data modelling
Mathematical Modelling and Analysis, 2010 A common problem in mathematical statistics is to check whether two samples differ from each other. From modelling point of view it is possible to make a statistical test for the equality of two means or alternatively two distribution functions.
Janis Valeinis +2 more
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