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Regression analysis with a dtochastic design variable
Date
2006-04-01
Author
Sazak, HS
Tiku, ML
İslam, Muhammed Qamarul
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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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.
Subject Keywords
Statistics, Probability and Uncertainty
,
Statistics and Probability
URI
https://hdl.handle.net/11511/40268
Journal
INTERNATIONAL STATISTICAL REVIEW
DOI
https://doi.org/10.1111/j.1751-5823.2006.tb00162.x
Collections
Department of Statistics, Article
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BibTeX
H. Sazak, M. Tiku, and M. Q. İslam, “Regression analysis with a dtochastic design variable,”
INTERNATIONAL STATISTICAL REVIEW
, pp. 77–88, 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/40268.