We have a population of unknown size. Each element has a class A or B. We are trying to estimate the proportion of A's in the population. We can randomly sample from the population and for each element in the sample we can apply a test which will either tell us if the sample is of class A or B but in certain cases the test might fail and not give a response at all.
What is the size of sample required to get the estimate with a given confidence interval? How do we correct for the "No Response" bias? What if the population size was know?
If someone would could point me to the appropriate reading material, that would be helpful. I am looking for detailed proofs that derive such a bound, if one exists.