Computing Parameter Estimates of a Homogeneous Nested Piecewise Linear Regression
Objective . The aim of the study is to develop an algorithm for identifying the parameters of a homogeneous nested piecewise linear regression model of the first type by the method of least modules. Method . Estimation of its unknown parameters is carried out with the help of reduction to the proble...
Uloženo v:
| Vydáno v: | Vestnik Dagestanskogo gosudarstvennogo tehničeskogo universiteta. Tehničeskie nauki (Online) Ročník 50; číslo 4; s. 115 - 120 |
|---|---|
| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina ruština |
| Vydáno: |
Dagestan State Technical University
23.01.2024
|
| Témata: | |
| ISSN: | 2073-6185, 2542-095X |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Shrnutí: | Objective
. The aim of the study is to develop an algorithm for identifying the parameters of a homogeneous nested piecewise linear regression model of the first type by the method of least modules.
Method
. Estimation of its unknown parameters is carried out with the help of reduction to the problem of linear Boolean programming. Its solution should not cause computational difficulties due to a significant number of effective software tools - for example, the well-established and freely available program LPsolve on the Internet.
Result
. The generated linear programming problem has an acceptable dimension for solving practical modeling problems.
Conclusion
. The results of solving a numerical example indicate the effectiveness of the method proposed in the work for calculating parameter estimates for a homogeneous nested piecewise linear regression model of the first type by the method of least modules. |
|---|---|
| ISSN: | 2073-6185 2542-095X |
| DOI: | 10.21822/2073-6185-2023-50-4-115-120 |