Applications of Imperfect Ranking Models for Ranked Ordering Set Sampling

Until now few authors deal with the imperfect judgement problem in ranked-set samples(RSS). In this paper we consider the imperfect judgement problem, using Frey (2007)’s idea, in advanced RSS, which we call ranked ordering set sampling(ROSS). With imperfect matrix we may know more precise distribution of ROSS when the judgement is imperfect. Through the graph we show that ROSS is slightly more precise than RSS for imperfect judgements. Our future work is to find more detailed examples and develop variously useful sampling technique for the imperfect judgements.