ADAPTIVE SEARCH AND STOP WITH UNCERTAIN SENSOR CAPABILITY
Takashi Kishi, Kuniaki Tatsuno · Journal of the Operations Research Society of Japan · 1981
A search and stop problem is studied where the detection capability of the search sensor as well as existence of the object in the given area is assumed uncertain. Two stopping rules based on the posterior probability of the object being in the area are examined. Our particular concern is to evaluate the effectiveness of utilizing "dummies" to obtain extra information which is expected to give us better estimate of the posterior distribution of the sensor capability. The efficiency of two rules are compared numerically, and some interesting results are obtained.