Regression analysis with a dtochastic design variable
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Date
2006
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Volume Title
Publisher
In Statistical Inst
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Abstract
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
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
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
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Keywords
Stochastic Design, Non-Normality, Modified Likelihood, Least Squares, Correlation Coefficient, Hypothesis Testing
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Citation
Sazak, H., Tiko, ML., Islam, MQ. (2006). Regression analysis with a dtochastic design variable. International Statistical Review, 74(1), 77-88.
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Source
International Statistical Review
Volume
74
Issue
1
Start Page
77
End Page
88