Induced owa operators in linear regression
Statistical linear regression (LR) is a tool used in developing mathematical models for applications in business (Maturo & Hoskova- mayerova, 2017), economics forecasting (Chudik, Kapetanios, & Hashem, 2018), natural sciences (Kilmer & Rodriguez, 2016), engineering (Braun, Altan, & B...
| Main Authors: | , , |
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| Format: | Documento de Conferencia |
| Language: | spa |
| Published: |
2021
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| Online Access: | http://repositorio.uptc.edu.co/handle/001/5605 |
| _version_ | 1801705854647402496 |
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| author | Avilés Ochoa, Ezequiel Flores Sosa, Martha Merigó, José M |
| author_facet | Avilés Ochoa, Ezequiel Flores Sosa, Martha Merigó, José M |
| author_sort | Avilés Ochoa, Ezequiel |
| collection | DSpace |
| description | Statistical linear regression (LR) is a tool used in developing mathematical models for applications in business (Maturo & Hoskova- mayerova, 2017), economics forecasting (Chudik, Kapetanios, & Hashem, 2018), natural sciences (Kilmer & Rodriguez, 2016), engineering (Braun, Altan, & Beck, 2014), and so on. The most common statistical method used to estimate the parameters is the least-squares regression, which works by finding the “best curve” through the data that minimizes the residual sum of squares. It has some advantages, among them, simplicity and ease of use (Raposo, 2016; Bettis & Fairlie, 2001), however atypical data and the relationship of the variables with others of them can be very problematic in regression analysis. |
| format | Documento de Conferencia |
| id | repositorio.uptc.edu.co-001-5605 |
| institution | Repositorio Institucional UPTC |
| language | spa |
| publishDate | 2021 |
| record_format | dspace |
| spelling | repositorio.uptc.edu.co-001-56052023-02-21T21:02:13Z Induced owa operators in linear regression Avilés Ochoa, Ezequiel Flores Sosa, Martha Merigó, José M Statistical linear regression (LR) is a tool used in developing mathematical models for applications in business (Maturo & Hoskova- mayerova, 2017), economics forecasting (Chudik, Kapetanios, & Hashem, 2018), natural sciences (Kilmer & Rodriguez, 2016), engineering (Braun, Altan, & Beck, 2014), and so on. The most common statistical method used to estimate the parameters is the least-squares regression, which works by finding the “best curve” through the data that minimizes the residual sum of squares. It has some advantages, among them, simplicity and ease of use (Raposo, 2016; Bettis & Fairlie, 2001), however atypical data and the relationship of the variables with others of them can be very problematic in regression analysis. 2021-12-21T17:17:43Z 2021-12-21T17:17:43Z 2019-01-24 Documento de Conferencia http://purl.org/coar/resource_type/c_8544 info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Text http://purl.org/coar/version/c_970fb48d4fbd8a85 http://repositorio.uptc.edu.co/handle/001/5605 2939 instname:Universidad Pedagogica y Tecnologica de Colombia reponame:Repositorio de la Universidad Pedagogica y Tecnologica de Colombia repourl:https://repositorio.uptc.edu.co/ spa International Congress of Innovation and Sustainable ICONIS https://rdigitales.uptc.edu.co/memorias/index.php/iconis/iconis/paper/download/2939/3001 https://creativecommons.org/licenses/by-nc-sa/4.0/ info:eu-repo/semantics/openAccess Atribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0) http://purl.org/coar/access_right/c_14cb application/pdf application/pdf https://rdigitales.uptc.edu.co/memorias/index.php/iconis/iconis/paper/view/2939 |
| spellingShingle | Avilés Ochoa, Ezequiel Flores Sosa, Martha Merigó, José M Induced owa operators in linear regression |
| title | Induced owa operators in linear regression |
| title_full | Induced owa operators in linear regression |
| title_fullStr | Induced owa operators in linear regression |
| title_full_unstemmed | Induced owa operators in linear regression |
| title_short | Induced owa operators in linear regression |
| title_sort | induced owa operators in linear regression |
| url | http://repositorio.uptc.edu.co/handle/001/5605 |
| work_keys_str_mv | AT avilesochoaezequiel inducedowaoperatorsinlinearregression AT floressosamartha inducedowaoperatorsinlinearregression AT merigojosem inducedowaoperatorsinlinearregression |
