This tutorial explains the basics of linear regression models. especially low-order polynomials. and the corresponding statistical designs. namely, designs of resolution III, IV, V, and Central Composite Designs (CCDs). This tutorial assumes 'white noise', which means that the residuals of the fitted linear regression model are normally, independently, and identically distributed with zero mean. The tutorial gathers statistical results that are scattered throughout the literature on mathematical statistics, and presents these results in a form that is understandable to simulation analysts.
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Paper provided by Tilburg University, Center for Economic Research in its series Discussion Paper with number
10.
Find related papers by JEL classification: C0 - Mathematical and Quantitative Methods - - General C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General C9 - Mathematical and Quantitative Methods - - Design of Experiments C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Statistical Decision Theory; Operations Research
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