Regression analysis with a dtochastic design variable
INTERNATIONAL STATISTICAL REVIEW, cilt.74, sa.1, ss.77-88, 2006 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 74 Sayı: 1
- Basım Tarihi: 2006
- Doi Numarası: 10.1111/j.1751-5823.2006.tb00162.x
- Dergi Adı: INTERNATIONAL STATISTICAL REVIEW
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.77-88
- Anahtar Kelimeler: stochastic design, non-normality, modified likelihood, least squares, correlation coefficient, hypothesis testing, MAXIMUM-LIKELIHOOD, NONNORMAL REGRESSION
- Orta Doğu Teknik Üniversitesi Adresli: Hayır
Özet
In regression models, the design variable has primarily been treated as a nonstochastic variable. In numerous situations, however, the design variable is stochastic. The estimation and hypothesis testing problems in such situations are considered. Real life examples are given.