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Convergence of increments for cumulative hazard function in a mixed censorship-truncation model with application to hazard estimators

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  • Gu, Minggao

Abstract

In this note, we study the convergence of increments for cumulative hazard function based on data which subject to both right censoring and left truncation. As an example of its application, a rate of convergence theorem concerning the nearest-neighbor type estimators is formulated.

Suggested Citation

  • Gu, Minggao, 1995. "Convergence of increments for cumulative hazard function in a mixed censorship-truncation model with application to hazard estimators," Statistics & Probability Letters, Elsevier, vol. 23(2), pages 135-139, May.
    • Handle: RePEc:eee:stapro:v:23:y:1995:i:2:p:135-139
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    Cited by:

    1. Han-Ying Liang & Jacobo Uña-Álvarez & María Iglesias-Pérez, 2012. "Asymptotic properties of conditional distribution estimator with truncated, censored and dependent data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(4), pages 790-810, December.
    2. Liang, Han-Ying & de Uña-Álvarez, Jacobo, 2011. "Wavelet estimation of conditional density with truncated, censored and dependent data," Journal of Multivariate Analysis, Elsevier, vol. 102(3), pages 448-467, March.

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