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Progressive Censoring: Data and Models

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The Art of Progressive Censoring

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

Abstract

The notion of progressive censoring is explained by introducing progressive Type-I and Type-II censoring in detail. The presentation includes detailed descriptions of the procedures as well as graphical illustrations and data. Additionally, progressive hybrid censoring is discussed. Finally, the chapter is supplemented by introducing particular probability models assumed in progressive censoring.

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Notes

  1. 1.

    As pointed out in Balakrishnan and Aggarwala [86, p. 2], the term progressive censoring has also been used as an alternate term for sequential testing (see, e.g., Chatterjee and Sen [246], Majumdar and Sen [631], and Sinha and Sen [805, 806]). Furthermore, the term multi-censored sample is used (see, e.g., Herd [440]).

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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). Progressive Censoring: Data and 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_1

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