Handbook of Measurement Error Models
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"This handbook provides detailed and comprehensive developments and methods for meta-analysis. Its insights and clear explanations make readers easily learn fundamental and advanced approaches to meta-analysis. This book is a valuable reference to develop new methods in meta-analysis and relevant materials provide motivating extensions in the future research."
- Biometrics"Written by rigorous mathematical language, the papers in the book can be useful to professional statisticians and graduate students specializing in advanced regression modeling and analysis of data with measurement errors."
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- Stan Lipovetsky in Technometrics, April 2023
Measurement error arises ubiquitously in applications and has been of long-standing concern in a variety of fields, including medical research, epidemiological studies, economics, environmental studies, and survey research. Les mer
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The Handbook of Measurement Error Models provides overviews of various topics on measurement error problems. It collects carefully edited chapters concerning issues of measurement error and evolving statistical methods, with a good balance of methodology and applications. It is prepared for readers who wish to start research and gain insights into challenges, methods, and applications related to error-prone data. It also serves as a reference text on statistical methods and applications pertinent to measurement error models, for researchers and data analysts alike.
Features:
Provides an account of past development and modern advancement concerning measurement error problems
Highlights the challenges induced by error-contaminated data
Introduces off-the-shelf methods for mitigating deleterious impacts of measurement error
Describes state-of-the-art strategies for conducting in-depth research
Detaljer
- Forlag
- CRC Press
- Innbinding
- Innbundet
- Språk
- Engelsk
- Sider
- 578
- ISBN
- 9781138106406
- Utgivelsesår
- 2021
- Format
- 25 x 18 cm
Anmeldelser
«
"This handbook provides detailed and comprehensive developments and methods for meta-analysis. Its insights and clear explanations make readers easily learn fundamental and advanced approaches to meta-analysis. This book is a valuable reference to develop new methods in meta-analysis and relevant materials provide motivating extensions in the future research."
- Biometrics"Written by rigorous mathematical language, the papers in the book can be useful to professional statisticians and graduate students specializing in advanced regression modeling and analysis of data with measurement errors."
»
- Stan Lipovetsky in Technometrics, April 2023