Matches in SemOpenAlex for { <https://semopenalex.org/work/W3037930498> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W3037930498 abstract "In this contribution, we extend the Gauss-Helmert model (GHM) with t-distributed errors (previously established by K.R. Koch) by including autoregressive (AR) random deviations. This model allows us to take into account unknown forms of colored noise as well as heavy-tailed white noise components within observed time series. We show that this GHM can be adjusted in principle through constrained maximum likelihood (ML) estimation, and also conveniently via an expectation maximization (EM) algorithm. The resulting estimator is self-tuning in the sense that the tuning constant, which occurs here as the degree of freedom of the underlying scaled t-distribution and which controls the thickness of the tails of that distribution’s probability distribution function, is adapted optimally to the actual data characteristics. We use this model and algorithm to adjust 2D measurements of a circle within a closed-loop Monte Carlo simulation and subsequently within an application involving GNSS measurements." @default.
- W3037930498 created "2020-07-02" @default.
- W3037930498 creator A5039902375 @default.
- W3037930498 creator A5039998831 @default.
- W3037930498 creator A5063876414 @default.
- W3037930498 date "2020-01-01" @default.
- W3037930498 modified "2023-09-26" @default.
- W3037930498 title "Adjustment of Gauss-Helmert Models with Autoregressive and Student Errors" @default.
- W3037930498 cites W103069544 @default.
- W3037930498 cites W1988608381 @default.
- W3037930498 cites W2038035853 @default.
- W3037930498 cites W2057954323 @default.
- W3037930498 cites W2102199654 @default.
- W3037930498 cites W2106945549 @default.
- W3037930498 cites W2315846576 @default.
- W3037930498 cites W2325308757 @default.
- W3037930498 cites W2498094064 @default.
- W3037930498 cites W2756083929 @default.
- W3037930498 cites W2895240581 @default.
- W3037930498 cites W2924752024 @default.
- W3037930498 cites W4230831194 @default.
- W3037930498 doi "https://doi.org/10.1007/1345_2019_82" @default.
- W3037930498 hasPublicationYear "2020" @default.
- W3037930498 type Work @default.
- W3037930498 sameAs 3037930498 @default.
- W3037930498 citedByCount "1" @default.
- W3037930498 countsByYear W30379304982021 @default.
- W3037930498 crossrefType "book-chapter" @default.
- W3037930498 hasAuthorship W3037930498A5039902375 @default.
- W3037930498 hasAuthorship W3037930498A5039998831 @default.
- W3037930498 hasAuthorship W3037930498A5063876414 @default.
- W3037930498 hasConcept C105795698 @default.
- W3037930498 hasConcept C112633086 @default.
- W3037930498 hasConcept C11413529 @default.
- W3037930498 hasConcept C115961682 @default.
- W3037930498 hasConcept C121332964 @default.
- W3037930498 hasConcept C143724316 @default.
- W3037930498 hasConcept C151730666 @default.
- W3037930498 hasConcept C154945302 @default.
- W3037930498 hasConcept C159877910 @default.
- W3037930498 hasConcept C161794534 @default.
- W3037930498 hasConcept C182081679 @default.
- W3037930498 hasConcept C185429906 @default.
- W3037930498 hasConcept C28826006 @default.
- W3037930498 hasConcept C33923547 @default.
- W3037930498 hasConcept C41008148 @default.
- W3037930498 hasConcept C49781872 @default.
- W3037930498 hasConcept C62520636 @default.
- W3037930498 hasConcept C86803240 @default.
- W3037930498 hasConcept C99498987 @default.
- W3037930498 hasConceptScore W3037930498C105795698 @default.
- W3037930498 hasConceptScore W3037930498C112633086 @default.
- W3037930498 hasConceptScore W3037930498C11413529 @default.
- W3037930498 hasConceptScore W3037930498C115961682 @default.
- W3037930498 hasConceptScore W3037930498C121332964 @default.
- W3037930498 hasConceptScore W3037930498C143724316 @default.
- W3037930498 hasConceptScore W3037930498C151730666 @default.
- W3037930498 hasConceptScore W3037930498C154945302 @default.
- W3037930498 hasConceptScore W3037930498C159877910 @default.
- W3037930498 hasConceptScore W3037930498C161794534 @default.
- W3037930498 hasConceptScore W3037930498C182081679 @default.
- W3037930498 hasConceptScore W3037930498C185429906 @default.
- W3037930498 hasConceptScore W3037930498C28826006 @default.
- W3037930498 hasConceptScore W3037930498C33923547 @default.
- W3037930498 hasConceptScore W3037930498C41008148 @default.
- W3037930498 hasConceptScore W3037930498C49781872 @default.
- W3037930498 hasConceptScore W3037930498C62520636 @default.
- W3037930498 hasConceptScore W3037930498C86803240 @default.
- W3037930498 hasConceptScore W3037930498C99498987 @default.
- W3037930498 hasLocation W30379304981 @default.
- W3037930498 hasOpenAccess W3037930498 @default.
- W3037930498 hasPrimaryLocation W30379304981 @default.
- W3037930498 hasRelatedWork W12020401 @default.
- W3037930498 hasRelatedWork W15559773 @default.
- W3037930498 hasRelatedWork W16757744 @default.
- W3037930498 hasRelatedWork W27601923 @default.
- W3037930498 hasRelatedWork W30508267 @default.
- W3037930498 hasRelatedWork W33565650 @default.
- W3037930498 hasRelatedWork W3640231 @default.
- W3037930498 hasRelatedWork W48720287 @default.
- W3037930498 hasRelatedWork W52244539 @default.
- W3037930498 hasRelatedWork W54561116 @default.
- W3037930498 isParatext "false" @default.
- W3037930498 isRetracted "false" @default.
- W3037930498 magId "3037930498" @default.
- W3037930498 workType "book-chapter" @default.