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Estimation in comparative calibration models with replicate measurement

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  • Giménez, Patricia
  • Patat, María Laura

Abstract

This paper considers consistent estimation in functional comparative calibration models with replication. Two consistent and asymptotically normal estimators based on the corrected score approach for measurement error models are proposed. Asymptotic distributions and results of a small-scale simulation study comparing the estimators are reported.

Suggested Citation

  • Giménez, Patricia & Patat, María Laura, 2005. "Estimation in comparative calibration models with replicate measurement," Statistics & Probability Letters, Elsevier, vol. 71(2), pages 155-164, February.
    • Handle: RePEc:eee:stapro:v:71:y:2005:i:2:p:155-164
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    Cited by:

    1. Giménez, Patricia & Galea, Manuel, 2013. "Influence measures on corrected score estimators in functional heteroscedastic measurement error models," Journal of Multivariate Analysis, Elsevier, vol. 114(C), pages 1-15.
    2. Weijia Jia & Weixing Song, 2018. "Goodness-of-fit tests in linear EV regression with replications," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 81(4), pages 395-421, May.
    3. Patricia Giménez & María Patat, 2014. "Local influence for functional comparative calibration models with replicated data," Statistical Papers, Springer, vol. 55(2), pages 431-454, May.
    4. Chunzheng Cao & Yahui Wang & Jian Qing Shi & Jinguan Lin, 2018. "Measurement Error Models for Replicated Data Under Asymmetric Heavy-Tailed Distributions," Computational Economics, Springer;Society for Computational Economics, vol. 52(2), pages 531-553, August.

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