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Focusing on the theory and methods of progressive censoring, this guide covers foundational concepts and the properties of progressively censored samples. It includes newly simulated data sets that illustrate key ideas, making complex topics more accessible. This resource is ideal for those looking to deepen their understanding of progressive censoring in statistical analysis.
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The Art of Progressive Censoring, N. Balakrishnan, Erhard Cramer
- Language
- Released
- 2016
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- (Paperback)
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