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Multi-sample Models

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The Art of Progressive Censoring

Part of the book series: Statistics for Industry and Technology ((SIT))

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Abstract

Several models involving multiple samples based on progressively Type-II censored data are discussed. The presentation includes competing risk models, joint progressive censoring, concomitants, and progressively censored systems data.

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Authors and Affiliations

  1. Department of Mathematics and Statistics, McMaster University, Hamilton, ON, Canada

    N. Balakrishnan

  2. Institute of Statistics, RWTH Aachen University, Aachen, Germany

    Erhard Cramer

Authors
  1. N. Balakrishnan
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  2. Erhard Cramer
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Balakrishnan, N., Cramer, E. (2014). Multi-sample Models. In: The Art of Progressive Censoring. Statistics for Industry and Technology. Birkhäuser, New York, NY. https://doi.org/10.1007/978-0-8176-4807-7_25

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