| Description |
1 online resource (xxvi, 437 pages) : illustrations |
| Series |
Chapman & Hall/CRC interdisciplinary statistics series |
|
Interdisciplinary statistics.
|
| Contents |
1. Introduction -- 2. Misclassification in estimating a proportion -- 3. Misclassification in two-way tables -- 4. Simple linear regression -- 5. Multiple linear regression -- 6. Measurement error in regression : a general overview -- 7. Binary regression -- 8. Linear models with nonadditive error -- 9. Nonlinear regression -- 10. Error in the response -- 11. Mixed/longitudinal models 12. Time series -- 13. Background material |
| Summary |
Over the last 20 years, comprehensive strategies for treating measurement error in complex models and accounting for the use of extra data to estimate measurement error parameters have emerged. Focusing on both established and novel approaches, "Measurement Error: Models, Methods, and Applications" provides an overview of the main techniques and illustrates their application in various models. It describes the impacts of measurement errors on naive analyses that ignore them and presents ways to correct for them across a variety of statistical models, from simple one-sample problems t |
| Bibliography |
Includes bibliographical references and indexes |
| Notes |
Print version record |
| Subject |
Error analysis (Mathematics)
|
|
Research Design
|
|
MATHEMATICS -- General.
|
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Error analysis (Mathematics)
|
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Fehleranalyse
|
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Fehlerrechnung
|
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Messfehler
|
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Messunsicherheit
|
|
Statistik.
|
| Form |
Electronic book
|
| ISBN |
9781420066586 |
|
1420066587 |
|
1282902288 |
|
9781282902282 |
|
9786612902284 |
|
6612902280 |
|
