Prof. Otieno Joseph A. M.
Mathematics
University of Nairobi, Chiromo Campus
Riverside Drive, 30197-00100 Nairobi, Kenya
joseph.otieno@uonbi.ac.ke
University of Nairobi, Chiromo Campus
Riverside Drive, 30197-00100 Nairobi, Kenya
joseph.otieno@uonbi.ac.ke
Sometimes due to confidentiality purposes, the objective is to estimate the proportion P of individuals that posses a certain characteristic, such as a blood disease or an antibody, without necessarily identifying the individuals. In such a case, testing blood samples from k individuals may result in an estimator of P with substantial lower mean square error than traditional estimator. The mean square error varies with k and P , and we show a method for choosing the optimal value of k . Practical considerations as applied to determining proportions of people with a disease are discussed. Substantial cost savings may result when the prevalence of a disease is low.