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Goodness-of-Fit Tests in Progressive Type-II Censoring

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Abstract

Goodness-of-fit tests for progressively Type-II censored data are reviewed. The presentation includes tests on exponentiality as well as tests for other distributional assumptions.

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Author information

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). Goodness-of-Fit Tests in Progressive Type-II Censoring. 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_19

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