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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| 団体著者: | |
| フォーマット: | 電子媒体 eBook |
| 言語: | English |
| 出版事項: |
New York, NY :
Springer New York : Imprint: Springer,
2010.
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| 版: | 1st ed. 2010. |
| シリーズ: | Statistics and Computing,
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| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-1-4419-5557-9 |
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