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Influence diagnostics for the Weibull model fit to censored data

Author

Listed:
  • Weissfeld, Lisa A.
  • Schneider, Helmut

Abstract

Methods for detecting influential observations for the Weibull model fit to censored data are discussed. These methods include: one-step deletion diagnostics, influence functions and curvature diagnostics. Results indicate that the curvature diagnostics may be helpful in detecting masking.

Suggested Citation

  • Weissfeld, Lisa A. & Schneider, Helmut, 1990. "Influence diagnostics for the Weibull model fit to censored data," Statistics & Probability Letters, Elsevier, vol. 9(1), pages 67-73, January.
    • Handle: RePEc:eee:stapro:v:9:y:1990:i:1:p:67-73
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    Cited by:

    1. Monzur Hossain & M. Ataharul Islam, 2004. "Testing The Significance Of Local Influence," Econometrics 0409003, University Library of Munich, Germany.
    2. Monzur Hossain & M. Ataharul Islam, 2004. "Application of Local Influence Diagnostics to the Linear Logistic Regression Models," Econometrics 0409004, University Library of Munich, Germany.

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