Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385704232> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W4385704232 endingPage "71" @default.
- W4385704232 startingPage "31" @default.
- W4385704232 abstract "In this chapter, a specific attention is paid to the determination of parametric models of the time series deterministic components: the trend and the seasonal patterns. In order to reach this goal, least squares data fitting methods are favored in this chapter. By least squares data fitting, we mean solutions that determine the unknown parameters of a parametric mathematical function by minimizing the sum of squared differences between the observed data and the fitted outputs provided by the model. Herein, it is more precisely shown that:" @default.
- W4385704232 created "2023-08-10" @default.
- W4385704232 creator A5017217274 @default.
- W4385704232 date "2023-01-01" @default.
- W4385704232 modified "2023-09-23" @default.
- W4385704232 title "Trend and Seasonality Model Learning with Least Squares" @default.
- W4385704232 cites W151604921 @default.
- W4385704232 cites W1546617100 @default.
- W4385704232 cites W1571538529 @default.
- W4385704232 cites W1964337655 @default.
- W4385704232 cites W1981780459 @default.
- W4385704232 cites W2003528009 @default.
- W4385704232 cites W2068484625 @default.
- W4385704232 cites W2075665712 @default.
- W4385704232 cites W2324992963 @default.
- W4385704232 cites W2787894218 @default.
- W4385704232 cites W2947014533 @default.
- W4385704232 cites W2962832549 @default.
- W4385704232 cites W2987333292 @default.
- W4385704232 cites W3159068915 @default.
- W4385704232 cites W4210516398 @default.
- W4385704232 cites W4229766439 @default.
- W4385704232 cites W4242433770 @default.
- W4385704232 cites W4246182238 @default.
- W4385704232 cites W4250772482 @default.
- W4385704232 cites W4256197952 @default.
- W4385704232 cites W4292081177 @default.
- W4385704232 cites W4292230442 @default.
- W4385704232 cites W4301621763 @default.
- W4385704232 cites W4302564868 @default.
- W4385704232 cites W4312258136 @default.
- W4385704232 cites W642667799 @default.
- W4385704232 doi "https://doi.org/10.1007/978-3-031-31636-4_3" @default.
- W4385704232 hasPublicationYear "2023" @default.
- W4385704232 type Work @default.
- W4385704232 citedByCount "0" @default.
- W4385704232 crossrefType "book-chapter" @default.
- W4385704232 hasAuthorship W4385704232A5017217274 @default.
- W4385704232 hasConcept C105795698 @default.
- W4385704232 hasConcept C117251300 @default.
- W4385704232 hasConcept C125403950 @default.
- W4385704232 hasConcept C14036430 @default.
- W4385704232 hasConcept C143724316 @default.
- W4385704232 hasConcept C149782125 @default.
- W4385704232 hasConcept C151730666 @default.
- W4385704232 hasConcept C166811707 @default.
- W4385704232 hasConcept C185429906 @default.
- W4385704232 hasConcept C188649462 @default.
- W4385704232 hasConcept C24574437 @default.
- W4385704232 hasConcept C28826006 @default.
- W4385704232 hasConcept C33923547 @default.
- W4385704232 hasConcept C45923927 @default.
- W4385704232 hasConcept C49392186 @default.
- W4385704232 hasConcept C49847556 @default.
- W4385704232 hasConcept C78458016 @default.
- W4385704232 hasConcept C86803240 @default.
- W4385704232 hasConcept C9936470 @default.
- W4385704232 hasConceptScore W4385704232C105795698 @default.
- W4385704232 hasConceptScore W4385704232C117251300 @default.
- W4385704232 hasConceptScore W4385704232C125403950 @default.
- W4385704232 hasConceptScore W4385704232C14036430 @default.
- W4385704232 hasConceptScore W4385704232C143724316 @default.
- W4385704232 hasConceptScore W4385704232C149782125 @default.
- W4385704232 hasConceptScore W4385704232C151730666 @default.
- W4385704232 hasConceptScore W4385704232C166811707 @default.
- W4385704232 hasConceptScore W4385704232C185429906 @default.
- W4385704232 hasConceptScore W4385704232C188649462 @default.
- W4385704232 hasConceptScore W4385704232C24574437 @default.
- W4385704232 hasConceptScore W4385704232C28826006 @default.
- W4385704232 hasConceptScore W4385704232C33923547 @default.
- W4385704232 hasConceptScore W4385704232C45923927 @default.
- W4385704232 hasConceptScore W4385704232C49392186 @default.
- W4385704232 hasConceptScore W4385704232C49847556 @default.
- W4385704232 hasConceptScore W4385704232C78458016 @default.
- W4385704232 hasConceptScore W4385704232C86803240 @default.
- W4385704232 hasConceptScore W4385704232C9936470 @default.
- W4385704232 hasLocation W43857042321 @default.
- W4385704232 hasOpenAccess W4385704232 @default.
- W4385704232 hasPrimaryLocation W43857042321 @default.
- W4385704232 hasRelatedWork W1520338190 @default.
- W4385704232 hasRelatedWork W1527126325 @default.
- W4385704232 hasRelatedWork W1991217434 @default.
- W4385704232 hasRelatedWork W2034819163 @default.
- W4385704232 hasRelatedWork W2040464743 @default.
- W4385704232 hasRelatedWork W2058869626 @default.
- W4385704232 hasRelatedWork W2083446492 @default.
- W4385704232 hasRelatedWork W2154627047 @default.
- W4385704232 hasRelatedWork W2525659285 @default.
- W4385704232 hasRelatedWork W2753003631 @default.
- W4385704232 isParatext "false" @default.
- W4385704232 isRetracted "false" @default.
- W4385704232 workType "book-chapter" @default.