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Functional measurement error in functional regression [PDF]
Canadian Journal of Statistics, 2020 AbstractMeasurement error is an important problem that has not been studied very well in the context of functional data analysis. To the best of our knowledge, there are no existing methods that address the presence of functional measurement errors in generalized functional linear models.
Sneha Jadhav, Shuangge Ma
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Complex zeros of the error function and of the complementary error function [PDF]
Mathematics of Computation, 1973 The first one hundred zeros of the error function and of the complementary error function are given. An asymptotic formula for the higher zeros is also derived.
Fettis, Henry E. +2 more
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Approximation of the modified error function [PDF]
Applied Mathematics and Computation, 2018 In this article, we obtain explicit approximations of the modified error function introduced in Cho, Sunderland. Journal of Heat Transfer 96-2 (1974), 214-217, as part of a Stefan problem with a temperature-dependent thermal conductivity. This function depends on a parameter $δ$, which is related to the thermal conductivity in the original phase-change
Andrea N. Ceretani +2 more
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Functional dependencies distorted by errors
Discrete Applied Mathematics, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Demetrovics, János +2 more
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Minimization of Error Functionals over Variable-Basis Functions [PDF]
SIAM Journal on Optimization, 2004 Summary: Generalized Tikhonov well-posedness is investigated for the problem of minimization of error functionals over admissible sets formed by variable-basis functions, i.e., linear combinations of a fixed number of elements chosen from a given basis without a prespecified ordering.
Paul C. Kainen +2 more
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A table of integrals of the Error functions
Journal of Research of the National Bureau of Standards, Section B: Mathematical Sciences, 1969 Tabulation of definite and indefinite integrals of products of error function with elementary and transcendental ...
Ng, Edward W., Geller, Murray
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On the Calculation of the Inverse of the Error Function. [PDF]
Mathematics of Computation, 1968 Formulas are given for computing the inverse of the error function to at least 18 significant decimal digits for all possible arguments up to 1 −
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Functional Dependencies in Presence of Errors [PDF]
, 2002 A relational database D is given with ? as the set of attributes. The rows (tuples, data of one individual) are transmitted through a noisy channel. It is supposed that at most one data in a row can be changed by the transmission. We say that A ? b (A ? ?, b ?
János Demetrovics +2 more
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Analysing Error of Fit Functions for Ellipses [PDF]
Procedings of the British Machine Vision Conference 1996, 1996 Abstract We describe several established error of fit (EOF) functions for use in the least square fitting of ellipses, and introduce a further four new EOFs. Four measures are used for assessing the suitability of such EOFs, quantifying their linearity, curvature bias, asymmetry, and overall goodness.
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Improving the error backpropagation algorithm with a modified error function [PDF]
IEEE Transactions on Neural Networks, 1997 This letter proposes a modified error function to improve the error backpropagation (EBP) algorithm of multilayer perceptrons (MLPs) which suffers from slow learning speed. To accelerate the learning speed of the EBP algorithm, the proposed method reduces the probability that output nodes are near the wrong extreme value of sigmoid activation function.
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