The linear mixed effects model with normal errors is a popular model for the analysis of repeated measures and longitudinal data. The generalized linear model is useful for data that have non-normal errors but where the errors are uncorrelated. A descendant of these two models generates a model for
Parametric Generalized Offsets to Hypersurfaces
โ Scribed by ENRIQUE ARRONDO; JUANA SENDRA; RAFAEL J. SENDRA
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 754 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0747-7171
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โฆ Synopsis
In this paper we extend the classical notion of offset to the concept of generalized offset to hypersurfaces. In addition, we present a complete theoretical analysis of the rationality and unirationality of generalized offsets. Characterizations for deciding whether the generalized offset to a hypersurface is parametric or it has two parametric components are given. As an application, an algorithm to analyse the rationality of the components of the generalized offset to a plane curve or to a surface, and to compute rational parametrizations of its rational components, is outlined.
๐ SIMILAR VOLUMES
The behavior of natural frequencies of linear systems under an increase of rigidity or inertia is established by the classical Rayleigh theorem [1]. In the first part of this paper the analogous problem is investigated for free oscillations frequencies of non-linear Hamiltonian systems with fixed to