On the relationship between regression analysis and mathematical programming
Küçük Resim Yok
Tarih
2009
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Maltepe Üniversitesi
Erişim Hakkı
CC0 1.0 Universal
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
Özet
In the development of the underlying theories in statistical methods, it has been face to face with a optimization problem. For example, for the aim of regression problem estimates the ? parameters that makes minimum the objective function according as structure of functions, is a optimization problem. Least Squares Method and Minimizing Mean Absolute Deviations (MINMAD) are at most using approaches in this problem. Although it has long been popular to utilize the Least Squares estimation procedure for fitting the linear regression model to observed data, with the development of Mathematical Programming, solving the MINMAD regression problem with Simplex Method has been a robust alternative to Least Squares Method (LS). In this study solving the MINMAD regression problem with Simplex Method has been given.
Açıklama
Anahtar Kelimeler
Kaynak
International Conference of Mathematical Sciences
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Künye
Giresunlu, İ. M. ve Ertan, E. (2009). On the relationship between regression analysis and mathematical programming. Maltepe Üniversitesi. s. 202.
