Robust Diagnostic Regression Analysis /
This book is about using graphs to understand the relationship between a regression model and the data to which it is fitted. Because of the new way in which models are fitted, for example by least squares, we can lose information about the effect of individual observations on inferences about the f...
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| Format: | eBook |
| Language: | English |
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New York, NY :
Springer New York : Imprint : Springer,
2000.
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| Series: | Springer series in statistics.
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| Online Access: | Connect to the full text of this electronic book |
| Summary: | This book is about using graphs to understand the relationship between a regression model and the data to which it is fitted. Because of the new way in which models are fitted, for example by least squares, we can lose information about the effect of individual observations on inferences about the form and parameters of the model. The methods developed in this book reveal how the fitted regression model depends on individual observations and on groups of observations. Robust procedures can sometimes reveal this structure, but downweight or discard some observations. The novelty in this book is to combine robustness and a "forward" search through the data with regression diagnostics and computer graphics. |
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| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (XVI, 327 pages 192 illustrations) |
| ISBN: | 9781461211600 (electronic bk.) 1461211603 (electronic bk.) |