Results 21 to 30 of about 994,443 (373)
Robust Estimators for the Correlation Measure to Resist Outliers in Data
Journal of Mathematical and Fundamental Sciences, 2016 The objective of this research was to propose a composite correlation coefficient to estimate the rank correlation coefficient of two variables. A simulation study was conducted using 228 situations for a bivariate normal distribution to compare the ...
Juthaphorn Sinsomboonthong
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Asymptotics for penalized additive B-spline regression [PDF]
, 2011 This paper is concerned with asymptotic theory for penalized spline estimator in bivariate additive model. The focus of this paper is put upon the penalized spline estimator obtained by the backfitting algorithm.
Naito, K., Yoshida, T.
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Discrete Applied Mathematics, 2012 31 pages, added the 4.419 upper-bound on the ...
Boufkhad, Yacine, Hugel, Thomas
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An improved estimator for non-Gaussianity in cosmic microwave background observations [PDF]
, 2012 An improved estimator for the amplitude fnl of local-type non-Gaussianity from the cosmic microwave background (CMB) bispectrum is discussed. The standard estimator is constructed to be optimal in the zero-signal (i.e., Gaussian) limit.
Grin, Daniel +2 more
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The Triple Difference Estimator
Social Science Research Network, 2020 Triple difference has become a widely used estimator in empirical work. A close reading of articles in top economics journals reveals that the use of the estimator to a large extent rests on intuition.
A. Olden, Jarle Møen
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Learning the MMSE Channel Estimator [PDF]
IEEE Transactions on Signal Processing, 2017 We present a method for estimating conditionally Gaussian random vectors with random covariance matrices, which uses techniques from the field of machine learning.
David Neumann, Thomas Wiese, W. Utschick
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Multiobjective tree-structured parzen estimator for computationally expensive optimization problems
Annual Conference on Genetic and Evolutionary Computation, 2020 Practitioners often encounter computationally expensive multiobjective optimization problems to be solved in a variety of real-world applications. On the purpose of challenging these problems, we propose a new surrogate-based multiobjective optimization ...
Yoshihiko Ozaki +3 more
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On some composite Kies families: distributional properties and saturation in Hausdorff sense
Modern Stochastics: Theory and Applications, 2023 The stochastic literature contains several extensions of the exponential distribution which increase its applicability and flexibility. In the present article, some properties of a new power modified exponential family with an original Kies correction ...
Tsvetelin Zaevski, Nikolay Kyurkchiev
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Estimation of a discrete monotone distribution [PDF]
, 2009 We study and compare three estimators of a discrete monotone distribution: (a) the (raw) empirical estimator; (b) the "method of rearrangements" estimator; and (c) the maximum likelihood estimator.
Jankowski, Hanna K., Wellner, Jon A.
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Development and testing of a soot particle concentration estimator using Lagrangian post-processing
Engineering Applications of Computational Fluid Mechanics, 2018 Soot emissions from combustion devices are known to have harmful effects on the environment and human health. As the transportation industry continues to expand, the development of techniques to reduce soot emissions remains a significant goal of ...
Raymond Alexander +3 more
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