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Multi-sample progressive Type-I censoring of exponentially distributed lifetimes. (English) Zbl 07532200

Summary: In this paper, we introduce the multi-sample progressive Type-I censoring model where \(k \geq 2\) independent progressively Type-I censored experiments are conducted. The main objective is the derivation of the exact distribution of the maximum likelihood estimator (MLE) of the scale parameter when the lifetimes are exponentially distributed. The presented results provide also an alternative proof for the exact distribution of the MLE in the situation of a single progressively Type-I censored sample. Further, we use this result to construct exact confidence intervals for the scale parameter. In particular, the required stochastic monotonicity of the MLE is shown.

MSC:

62-XX Statistics

Software:

StInt
Full Text: DOI

References:

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