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Introduction to Robust and Quasi-Robust Statistical Methods / by W.J.J. Rey
(Universitext. ISSN:21916675)
Edition | 1st ed. 1983. |
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Publisher | (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer) |
Year | 1983 |
Size | X, 238 p : online resource |
Authors | *Rey, W.J.J author SpringerLink (Online service) |
Subjects | LCSH:Probabilities LCSH:Mathematics FREE:Probability Theory FREE:Applications of Mathematics |
Notes | 1. Introduction and Summary -- 1.1. History and main contributions -- 1.2. Why robust estimations? -- 1.3. Summary -- A The Theoretical Background -- 2. Sample spaces, distributions, estimators -- 3. Robustness, breakdown point and influence function -- 4. The jackknife method -- 5. Bootstrap methods, sampling distributions -- B -- 6. Type M estimators -- 7. Type L estimators -- 8. Type R estimator -- 9. Type MM estimators -- 10. Quantile estimators and confidence intervals -- 11. Miscellaneous -- 12. References -- 13. Subject index HTTP:URL=https://doi.org/10.1007/978-3-642-69389-2 |
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E-Book | Location | Media type | Volume | Call No. | Status | Reserve | Comments | ISBN | Printed | Restriction | Designated Book | Barcode No. |
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E-Book | オンライン | 電子ブック |
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Springer eBooks | 9783642693892 |
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電子リソース |
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EB00199172 |
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Material Type | E-Book |
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Classification | LCC:QA273.A1-274.9 DC23:519.2 |
ID | 4000110250 |
ISBN | 9783642693892 |
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