Document Type


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Technical Report 182


Selection of variables in multiple linear regression is a common problem in model building. Let the "correct" model be the model which includes all variables that influence the dependent variable and excludes all others. This paper derives the probability of selecting the correct model for the sequential deletion procedure. A concept of least favorable selection is given. Based on this concept, the sample size is determined for given probability of selecting the correct model. The procedure is illustrated by considering the polynomial regression.


Mathematics | Physical Sciences and Mathematics

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Mathematics Commons



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