Matches in SemOpenAlex for { <https://semopenalex.org/work/W4280517329> ?p ?o ?g. }
- W4280517329 endingPage "1645" @default.
- W4280517329 startingPage "1645" @default.
- W4280517329 abstract "Dimensional Analysis (DA) is a mathematical method that manipulates the data to be analyzed in a homogenized manner. Likewise, linear regression is a potent method for analyzing data in diverse fields. At the same time, data visualization has gained attention in tendency study. In addition, linear regression is an important topic to address predictive models and patterns in data study. However, it is still pending to attack the manipulation of uncertainty related to the data transformation. In this sense, this work presents a new contribution with linear regression, combining the Dimensional Analysis (DA) to address instability and error issues. In addition, our method provides a second contribution related to including the decision maker’s attitude involved in the study. Therefore, the experimentation shows that DA manipulates the regression problem under a complex situation that the outcome may have in the investigation. A real-life case study is used to demonstrate our proposal." @default.
- W4280517329 created "2022-05-22" @default.
- W4280517329 creator A5019055832 @default.
- W4280517329 creator A5054194585 @default.
- W4280517329 creator A5072383024 @default.
- W4280517329 creator A5074540370 @default.
- W4280517329 date "2022-05-12" @default.
- W4280517329 modified "2023-10-18" @default.
- W4280517329 title "Estimation of Linear Regression with the Dimensional Analysis Method" @default.
- W4280517329 cites W1967536980 @default.
- W4280517329 cites W1993509040 @default.
- W4280517329 cites W2004949946 @default.
- W4280517329 cites W2030223092 @default.
- W4280517329 cites W2034668023 @default.
- W4280517329 cites W2035817645 @default.
- W4280517329 cites W2054349161 @default.
- W4280517329 cites W2058957163 @default.
- W4280517329 cites W2061250208 @default.
- W4280517329 cites W2063786714 @default.
- W4280517329 cites W2078300254 @default.
- W4280517329 cites W2095051518 @default.
- W4280517329 cites W2129812935 @default.
- W4280517329 cites W2146267581 @default.
- W4280517329 cites W2149860264 @default.
- W4280517329 cites W2159267296 @default.
- W4280517329 cites W2164349155 @default.
- W4280517329 cites W2318802957 @default.
- W4280517329 cites W2394513771 @default.
- W4280517329 cites W2562403923 @default.
- W4280517329 cites W2769011328 @default.
- W4280517329 cites W2776390661 @default.
- W4280517329 cites W2788340823 @default.
- W4280517329 cites W2900036087 @default.
- W4280517329 cites W2917202005 @default.
- W4280517329 cites W2967750351 @default.
- W4280517329 cites W2971928988 @default.
- W4280517329 cites W3016561004 @default.
- W4280517329 cites W3037987550 @default.
- W4280517329 cites W3084420001 @default.
- W4280517329 cites W3092141329 @default.
- W4280517329 cites W3092236471 @default.
- W4280517329 cites W3093252501 @default.
- W4280517329 cites W3117542617 @default.
- W4280517329 cites W4210496573 @default.
- W4280517329 cites W4212883601 @default.
- W4280517329 cites W4238110713 @default.
- W4280517329 doi "https://doi.org/10.3390/math10101645" @default.
- W4280517329 hasPublicationYear "2022" @default.
- W4280517329 type Work @default.
- W4280517329 citedByCount "5" @default.
- W4280517329 countsByYear W42805173292022 @default.
- W4280517329 countsByYear W42805173292023 @default.
- W4280517329 crossrefType "journal-article" @default.
- W4280517329 hasAuthorship W4280517329A5019055832 @default.
- W4280517329 hasAuthorship W4280517329A5054194585 @default.
- W4280517329 hasAuthorship W4280517329A5072383024 @default.
- W4280517329 hasAuthorship W4280517329A5074540370 @default.
- W4280517329 hasBestOaLocation W42805173291 @default.
- W4280517329 hasConcept C104317684 @default.
- W4280517329 hasConcept C105795698 @default.
- W4280517329 hasConcept C119857082 @default.
- W4280517329 hasConcept C124101348 @default.
- W4280517329 hasConcept C135572916 @default.
- W4280517329 hasConcept C150670458 @default.
- W4280517329 hasConcept C152877465 @default.
- W4280517329 hasConcept C163175372 @default.
- W4280517329 hasConcept C185592680 @default.
- W4280517329 hasConcept C204241405 @default.
- W4280517329 hasConcept C32224588 @default.
- W4280517329 hasConcept C33923547 @default.
- W4280517329 hasConcept C36464697 @default.
- W4280517329 hasConcept C41008148 @default.
- W4280517329 hasConcept C48921125 @default.
- W4280517329 hasConcept C55493867 @default.
- W4280517329 hasConcept C57381214 @default.
- W4280517329 hasConcept C64946054 @default.
- W4280517329 hasConcept C83546350 @default.
- W4280517329 hasConceptScore W4280517329C104317684 @default.
- W4280517329 hasConceptScore W4280517329C105795698 @default.
- W4280517329 hasConceptScore W4280517329C119857082 @default.
- W4280517329 hasConceptScore W4280517329C124101348 @default.
- W4280517329 hasConceptScore W4280517329C135572916 @default.
- W4280517329 hasConceptScore W4280517329C150670458 @default.
- W4280517329 hasConceptScore W4280517329C152877465 @default.
- W4280517329 hasConceptScore W4280517329C163175372 @default.
- W4280517329 hasConceptScore W4280517329C185592680 @default.
- W4280517329 hasConceptScore W4280517329C204241405 @default.
- W4280517329 hasConceptScore W4280517329C32224588 @default.
- W4280517329 hasConceptScore W4280517329C33923547 @default.
- W4280517329 hasConceptScore W4280517329C36464697 @default.
- W4280517329 hasConceptScore W4280517329C41008148 @default.
- W4280517329 hasConceptScore W4280517329C48921125 @default.
- W4280517329 hasConceptScore W4280517329C55493867 @default.
- W4280517329 hasConceptScore W4280517329C57381214 @default.
- W4280517329 hasConceptScore W4280517329C64946054 @default.
- W4280517329 hasConceptScore W4280517329C83546350 @default.
- W4280517329 hasIssue "10" @default.
- W4280517329 hasLocation W42805173291 @default.