Results 21 to 30 of about 683,761 (159)
Journal of Computational Physics, 2007 In this paper we present a new method to estimate Fekete points on surfaces. Although our method works in a general setting, we concentrate on its application to the unit sphere because it is the prototype problem and in the unit cube because its singularity. The algorithm we present here is very simple and it is based in a physical
Bendito Pérez, Enrique +3 more
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Estimation of Change-Point Models
Journal of Mathematical Sciences, 2022 We consider the testing and estimation of change-points, locations where the distribution abruptly changes, in a sequence of observations. Motivated by this problem, in this contribution we first investigate the extremes of Gaussian fields with trend which then help us give asymptotic p-value approximations of the likelihood ratio statistics from ...
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Bootstrap BCa confidence intervals for a standardized mean difference in a paired samples design using a pooled standard deviation [PDF]
Tutorials in Quantitative Methods for PsychologyA standardized mean difference in a paired samples design using a pooled standard deviation, dp, requires knowledge of the population correlation, rho, in order to generate an accurate estimate of a noncentral t confidence interval (CI).
Fitts, Douglas A.
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Flood Hazard Estimation under Nonstationarity Using the Particle Filter
Geosciences, 2020 The presence of the nonstationarity in flow datasets has challenged the flood hazard assessment. Nonstationary tools and evaluation metrics have been proposed to deal with the nonstationarity and guide the infrastructure design and mitigation measures ...
Cuauhtémoc Tonatiuh Vidrio-Sahagún +1 more
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What's the Point of a Point Estimate? [PDF]
Significance, 2012 Abstract In our December 2011 issue the Young Statisticians Section of the Royal Statistical Society set a competition open to all young statisticians. It was to write an article for Significance, explaining some aspect of statistics in terms that anyone, statistically knowledgeable or not, could understand and relate to.
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6D Pose Estimation Method Using Curvature-Enhanced Point-Pair Features
IEEE Access, 2023 Pose estimation has garnered significant attention in recent years and has found extensive application in fields such as autonomous driving, robotics, and augmented reality.
Yufan Liu, Shouting Feng
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The Zero-Adjusted Log-Symmetric Distributions: Point and Intervalar Estimation [PDF]
Anais da Academia Brasileira de Ciências, 2023 In this paper, a new class of semi-continuous distributions called zero-adjusted log-symmetric is introduced and studied. Some properties and parameters estimation by maximum likelihood method are derived and confidence intervals (CIs) are developed.
DIEGO RISCO-COSAVALENTE +1 more
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Point process stabilization methods and dimension estimation [PDF]
Discrete Mathematics & Theoretical Computer Science, 2008 We provide an overview of stabilization methods for point processes and apply these methods to deduce a central limit theorem for statistical estimators of dimension.
J. E. Yukich
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On Transmuted Power Function Distribution: Characterization, Risk Measures, and Estimation
Journal of New Theory, 2021 Transmuted power function distribution is generated using the quadratic rank transmutation method based on the mixture of the distributions of two order statistics.
Caner Tanış
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Deep Learning-Based 6D Object Pose Estimation Method from Point Clouds [PDF]
Jisuanji gongcheng, 2021 Object pose estimation is a key technology required for enabling the robots to pick 3D objects in a cluttered environment. However, most of the existing deep learning methods for pose estimation rely heavily on the RGB information of the scene, which ...
LI Shaofei, SHI Zelin, ZHUANG Chungang
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