Results 41 to 50 of about 719,228 (391)
Application of Robust Regression and Bootstrap in Poductivity Analysis of GERD Variable in EU27 [PDF]
Statistika: Statistics and Economy Journal, 2014 The GERD is one of Europe 2020 headline indicators being tracked within the Europe 2020 strategy. The headline indicator is the 3% target for the GERD to be reached within the EU by 2020.
Dagmar Blatná
doaj
New Equivalence Tests for Hardy–Weinberg Equilibrium and Multiple Alleles
Stats, 2020 We consider testing equivalence to Hardy−Weinberg Equilibrium in case of multiple alleles. Two different test statistics are proposed for this test problem. The asymptotic distribution of the test statistics is derived.
Vladimir Ostrovski
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Randomization, Bootstrap and Monte Carlo Methods in Biology
, 1997 Preface to the Second Edition Preface to the First Edition Randomization The Idea of a Randomization Test Examples of Randomization Tests Aspects of Randomization Testing Raised by the Examples Sampling the Randomization Distribution or Systematic ...
B. Manly
semanticscholar +1 more source
An analytical toolkit for the S-matrix bootstrap [PDF]
Journal of High Energy Physics, 2020 We revisit analytical methods for constraining the nonperturbative S-matrix of unitary, relativistic, gapped theories in d≥ 3 spacetime dimensions. We assume extended analyticity of the two-to-two scattering amplitude and use it together with elastic ...
Miguel Correia, A. Sever, A. Zhiboedov
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A Residual Bootstrap for Conditional Value-at-Risk
, 2020 This paper proposes a fixed-design residual bootstrap method for the two-step estimator of Francq and Zako\"ian (2015) associated with the conditional Value-at-Risk.
Beutner, Eric +2 more
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Bootstrap Inference for Hawkes and General Point Processes [PDF]
arXiv, 2021 Inference and testing in general point process models such as the Hawkes model is predominantly based on asymptotic approximations for likelihood-based estimators and tests. As an alternative, and to improve finite sample performance, this paper considers bootstrap-based inference for interval estimation and testing.
arxiv
, 1986 This is a review of bootstrap methods, concentrating on basic ideas and applications rather than theoretical considerations. It begins with an exposition of the bootstrap estimate of standard error for one-sample situations.
B. Efron, R. Tibshirani
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Strong Bootstrap Conditions [PDF]
, 2000 We reformulate the so-called ``strong bootstrap'' conditions for the gluon Reggeization in the next-to-leading approximation (NLA), firstly suggested by Braun and Vacca, using a different approach, which is not based on properties of the eigenstates of ...
A. Papa +32 more
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Confidence intervals for means of positively skewed distributions [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2003 The objective of this study is to compare interval estimation methods for population means of positively skewed distributions. The estimation methods are the interval estimation method with student-t statistics, the interval estimation method with ...
Weerawan Sakdajivacharoen +1 more
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Accidental explosions on the railway: Simulationâ€based prediction of damage to nearby buildings
Transport, 2005 A procedure for estimating potential damage to buildings induced by accidental explosions on the railway is developed. By the damage failures of nearby structures due to actions generated by the accidental explosions are meant. This damage is measured in
Egidijus R. Vaidogas
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