Robust estimation and testing /
An introduction to the theory and methods of robust statistics, providing students with practical methods for carrying out robust procedures in a variety of statistical contexts and explaining the advantages of these procedures. In addition, the text develops techniques and concepts likely to be use...
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| Format: | eBook |
| Language: | English |
| Language Notes: | English. |
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New York :
Wiley,
©1990.
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| Online Access: | Connect to the full text of this electronic book |
| Summary: | An introduction to the theory and methods of robust statistics, providing students with practical methods for carrying out robust procedures in a variety of statistical contexts and explaining the advantages of these procedures. In addition, the text develops techniques and concepts likely to be useful in the future analysis of new statistical models and procedures. Emphasizing the concepts of breakdown point and influence functon of an estimator, it demonstrates the technique of expressing an estimator as a descriptive measure from which its influence function can be derived and then used to explore the efficiency and robustness properties of the estimator. Mathematical techniques are complemented by computational algorithms and Minitab macros for finding bootstrap and influence function estimates of standard errors of the estimators, robust confidence intervals, robust regression estimates and their standard errors. Includes examples and problems. |
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| Physical Description: | 1 online resource (xix, 351 pages) |
| Bibliography: | Includes bibliographical references and indexes. |
| ISBN: | 9781118165485 1118165489 9781118165492 1118165497 1283279983 9781283279987 9786613279989 6613279986 |