Showing papers by "Anne Chao published in 1993"
TL;DR: In this article, a theoretical optimal stopping rule based on the minimization of the testing cost and expected penalty due to the unremoved bugs is derived without the equal failure rate assumption under Nayak's (1988) recapture debugging procedure.
Abstract: SUMMARY A theoretical optimal stopping rule based on the minimization of the testing cost and expected penalty due to the unremoved bugs is derived without the equal failure rate assumption under Nayak's (1988) recapture debugging procedure. Two adaptive stopping rules suitable for practical use are constructed and tested by simulation. The estimation of the number of undetected bugs is also considered via remaining failure rate estimation.
472 citations
TL;DR: In this article, an estimation procedure using the idea of sample coverage is proposed to estimate population size for capture-recapture experiments in continuous time, where capture rates (intensity) are allowed to vary by time and individuals.
Abstract: An estimation procedure using the idea of sample coverage is proposed to estimate population size for capture-recapture experiments in continuous time. The capture rates (intensity) are allowed to vary by time and individuals (heterogeneity). Only capture frequency history are sufficient for estimating population size while capture times and sequential orders of animals caught are irrelevant for the analysis. An example is given for illustration. The performance of the proposed estimation procedure is also investigated by simulation.
33 citations