Exact Computation of Minimum Sample Size for Estimating Proportion of Finite Population

Abstract

In this paper, we develop an exact method for the determination of the minimum sample size for estimating the proportion of a finite population with prescribed margin of error and confidence level. By characterizing the behavior of the coverage probability with respect to the proportion, we show that the computational complexity can be significantly reduced and bounded regardless population size.

13 pages, no figure, fixed typos

References in corpus (2)

• Exact Computation of Minimum Sample size for Estimation of Poisson Parameters
• Exact Computation of Minimum Sample Size for Estimation of Binomial Parameters

Cited by in corpus (5)

• Exact Computation of Minimum Sample size for Estimation of Poisson Parameters
• Exact Computation of Minimum Sample Size for Estimation of Binomial Parameters
• Inverse Sampling for Nonasymptotic Sequential Estimation of Bounded Variable Means
• Coverage Probability of Random Intervals
• On Estimation of Finite Population Proportion