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On Exact Inferential Results for a Simple Step-Stress Model Under a Time Constraint

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Abstract

In simple step-stress models based on exponential distributions, the distributions of the MLEs are commonly obtained using the moment generating function. In this paper, we propose an alternative method, the so-called expected value approach, introduced in Górny (2017) to derive the exact distribution of the MLEs. Moreover, we discuss the benefits of this technique. Further, assuming uniformly distributed lifetimes, we show that the MLEs are also explicitly available and that their distributions are discrete for both the cumulative exposure and the tampered failure rate model. Additionally, we illustrate that confidence regions as well as confidence intervals can be established utilizing a connection to the multinomial distribution. The results are illustrated by an illustrative example as well as simulation results.

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Acknowledgments

The authors are grateful to an anonymous referee for valuable comments and suggestions which led to this improved version of the manuscript.

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  1. Institute of Statistics, RWTH Aachen University, D-52062, Aachen, Germany

    Julian Górny & Erhard Cramer

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  1. Julian Górny
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  2. Erhard Cramer
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Correspondence to Erhard Cramer.

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Górny, J., Cramer, E. On Exact Inferential Results for a Simple Step-Stress Model Under a Time Constraint. Sankhya B 82, 201–239 (2020). https://doi.org/10.1007/s13571-019-00188-9

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