Abstract
Suppose there is an unknown number of species in an area of interest. A sample is collected and all the animals are identified according to their species. The purpose is to estimate the proportion θ of the animals that belong to undiscovered species. Point and interval estimators for θ are derived when the area is stratified into K strata and observations are taken from each stratum. Use of proportional allocation is shown to be more efficient than simple random sampling. This model fits very well in software reliability estimation under beta testing, i.e., the software faults are detected by complaints from the users. Many difficult situations in software testing and reliability are overcome by this model.
Published Version
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