JOURNAL ARTICLE

Handbook of Measurement Error Models.

  • Published In: Journal of the Royal Statistical Society: Series A (Statistics in Society), 2024, v. 187, n. 4. P. 1140 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Aalabaf-Sabaghi, Morteza 3 of 3

Abstract

The "Handbook of Measurement Error Models" is a comprehensive resource that covers measurement error models in various disciplines such as epidemiology, medical biology, econometrics, and statistics. The handbook explores topics like sampling, estimation, simulation, and inference, and includes both parametric and non-parametric models. It also provides references to codes and software packages for implementation. This advanced text is aimed at graduate students and researchers in applied work, particularly those interested in estimation and simulation. It is a valuable resource for those familiar with measure theory, real analysis, asymptotic theory, error correction models, and deconvolution literature. [Extracted from the article]

Additional Information

  • Source:Journal of the Royal Statistical Society: Series A (Statistics in Society). 2024/10, Vol. 187, Issue 4, p1140
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2024
  • ISSN:0964-1998
  • DOI:10.1093/jrsssa/qnae030
  • Accession Number:180152566
  • Copyright Statement:Copyright of Journal of the Royal Statistical Society: Series A (Statistics in Society) is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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