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Inverse circular–circular regression
Journal of Multivariate Analysis, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ashis SenGupta +2 more
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Multiple circular–circular regression
Statistical Modelling, 2017In this article, we consider the circular–circular regression model using Möbius transformation. We first consider the model provided by Kato et al. (2008) for only one circular regressor and prove the identifiability of the model. After that, a methodology is discussed to reduce the prediction error of this model.
Jha, Jayant, Biswas, Atanu
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Journal of Logic, Language and Information, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Leitgeb, H, Hieke, A
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Leitgeb, H, Hieke, A
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IEEE Transactions on Signal Processing, 1994
Circularity is an assumption that was originally introduced for the definition of the probability distribution function of complex normal vectors. However, this concept can be extended in various ways for nonnormal vectors. The first purpose of the paper is to introduce and compare some possible definitions of circularity. From these definitions, it is
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Circularity is an assumption that was originally introduced for the definition of the probability distribution function of complex normal vectors. However, this concept can be extended in various ways for nonnormal vectors. The first purpose of the paper is to introduce and compare some possible definitions of circularity. From these definitions, it is
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Circularity, evolution, systematics … and circularity
Journal of Evolutionary Biology, 1999Abstract Many have argued strongly that incorporation of evolutionary theory into systematics is dangerously circular, while others have maintained that such an integrated approach increases the accuracy of phylogenetic inference. Here, it is demonstrated that such blanket statements regarding exclusion or inclusion of evolutionary ...
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Optics Letters, 2008
A very general beam solution of the paraxial wave equation in circular cylindrical coordinates is presented. We call such a field a circular beam (CiB). The complex amplitude of the CiB is described by either the Whittaker functions or the confluent hypergeometric functions and is characterized by three parameters that are complex in the most general ...
Miguel A, Bandres +1 more
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A very general beam solution of the paraxial wave equation in circular cylindrical coordinates is presented. We call such a field a circular beam (CiB). The complex amplitude of the CiB is described by either the Whittaker functions or the confluent hypergeometric functions and is characterized by three parameters that are complex in the most general ...
Miguel A, Bandres +1 more
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IEE Proceedings - Systems Biology, 2006
The problem of disentangling complex dynamic systems is addressed, especially with a view to identifying those variables that take part in the essential qualitative behaviour of systems. The author presents a series of reflections about the methods of formalisation together with the principles that govern the global operation of systems. In particular,
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The problem of disentangling complex dynamic systems is addressed, especially with a view to identifying those variables that take part in the essential qualitative behaviour of systems. The author presents a series of reflections about the methods of formalisation together with the principles that govern the global operation of systems. In particular,
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2001
Abstract Circular dichroism (optical activity) can only be observed for chiral molecules or in the case of molecule-ligand binding only if at least one of the interacting species is chiral. This is usually true in biochemistry particularly if a biological macromolecule such as a protein/peptide is involved.
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Abstract Circular dichroism (optical activity) can only be observed for chiral molecules or in the case of molecule-ligand binding only if at least one of the interacting species is chiral. This is usually true in biochemistry particularly if a biological macromolecule such as a protein/peptide is involved.
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Proceedings of the 14th annual Southeast regional conference on - ACM-SE 14, 1976
We define a finite-state machine called a circular automata (CA) which processes information in a queue; we show that any function computed (or any language recognized) by such a machine is computable (recognizable) by a Turing machine and vice versa. Space and time bounds are given for the needed simulations.
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We define a finite-state machine called a circular automata (CA) which processes information in a queue; we show that any function computed (or any language recognized) by such a machine is computable (recognizable) by a Turing machine and vice versa. Space and time bounds are given for the needed simulations.
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Computer-Aided Design, 1992
A circular spline is a \(C^ 1\) curve consisting of circular arcs which join at the knots \(P_ 1,\dots,P_ n\). The author considers the problem of interpolating a given point set (open or closed) in \(\mathbb{R}^ 2\) and \(\mathbb{R}^ 3\) by circular splines with knots at the interpolation points.
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A circular spline is a \(C^ 1\) curve consisting of circular arcs which join at the knots \(P_ 1,\dots,P_ n\). The author considers the problem of interpolating a given point set (open or closed) in \(\mathbb{R}^ 2\) and \(\mathbb{R}^ 3\) by circular splines with knots at the interpolation points.
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