A SAS/IML Companion for Linear Models
Linear models courses are often presented as either theoretical or applied. Consequently, students may find themselves either proving theorems or using high-level procedures like PROC GLM to analyze data. There exists a gap between the derivation of formulas and analyses that hide these formulas beh...
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York : Imprint: Springer,
2010.
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| Edition: | 1st ed. 2010. |
| Series: | Statistics and Computing,
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| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-1-4419-5557-9 |
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