Measurement Error : Models, Methods, and Applications
John P. Buonaccorsi
Bok Engelsk 2010 · Electronic books.
| Annen tittel | |
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| Utgitt | Hoboken : : Chapman & Hall/CRC, , 2010.
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| Omfang | 1 online resource (464 p.)
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| Opplysninger | Description based upon print version of record.. - Cover; Title; Copyright; Dedication; Contents; Preface; List of Examples; CHAPTER 1: Introduction; CHAPTER 2: Misclassification in Estimating a Proportion; CHAPTER 3: Misclassification in Two-Way Tables; CHAPTER 4: Simple Linear Regression; CHAPTER 5: Multiple Linear Regression; CHAPTER 6: Measurement Error in Regression: A General Overview; CHAPTER 7: Binary Regression; CHAPTER 8: Linear Models with Nonadditive Error; CHAPTER 9: Nonlinear Regression; CHAPTER 10: Error in the Response; CHAPTER 11: Mixed/Longitudinal Models; CHAPTER 12: Time Series; CHAPTER 13: Background Material; References. - Author indexSubject index. - 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 to regres
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| Dewey | |
| ISBN | 9781420066562
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