Linear models and generalizations : least squares and alternatives / C Radhakrishna Rao and others
Material type:
TextPublication details: Berlin : Springer-Verlag, 2008Edition: 3rd edDescription: xix, 570p, 24cmISBN: - 3540742263
- 519.536 RAO
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Calcutta | 519.536 RAO (Browse shelf(Opens below)) | Available | IIMC-126100 | |||
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Calcutta | 519.536 RAO (Browse shelf(Opens below)) | Available | IIMC-123278 | |||
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Calcutta | 519.536 RAO (Browse shelf(Opens below)) | Available | IIMC-125700 |
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| 519.536 PAR Applied regression modeling / | 519.536 RAO Linear models : | 519.536 RAO Linear models and generalizations : | 519.536 RAO Linear models and generalizations : | 519.536 RAO Linear models and generalizations : | 519.536 RAT Nonlinear regression modeling : | 519.536 ROU Robust regression and outlier detection / |
This book provides an up-to-date account of the theory and applications of linear models. The authors present a unified theory of inference from linear models and its generalizations with minimal assumptions, not only through least squares theory, but also using alternative methods of estimation and testing based on convex loss functions and general estimating equations. It can be used as a text for courses in statistics at the graduate level as well as an accompanying text for other courses in which linear models play a part.
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