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Inference for Density Families Using Functional Principal Component Analysis

Alois Kneip, Klaus J Utikal

Journal of the American Statistical Association, 2001. DOI 10.1198/016214501753168235

Has this study been replicated?

The atlas records 1 reproduction of this study. Recorded outcomes: 1 mixed.

Reproductions

• Firm size distributions through the lens of functional principal components analysis, Huynh & Jacho‐Chávez (2010). Journal of Applied Econometrics. Outcome recorded: computation not checked, robustness challenges. Robustness: For the unbalanced panel, we reject the null hypothesis that the densities are the same, while we fail to reject the null hypothesis for the balanced panel. Outcome read from Robustness: abstract. View paper

Cite this record

Kneip, A., & Utikal, K. J. (2001). Inference for Density Families Using Functional Principal Component Analysis. Journal of the American Statistical Association, 96(454), 519–542. https://doi.org/10.1198/016214501753168235

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