Multi-phase sampling under cost constraints
- 36 Downloads
Multi-phase sampling (M-PhS) scheme is useful when the interest is in the estimation of the population mean of an expensive variable strictly connected with other cheaper (auxiliary) variables. The MSE is an accuracy measure of an estimator. Usually it decreases as the sample size increases. In practice the sample size cannot become arbitrarily large for possible cost constraints. From a practical point of view it would be useful to know the sample sizes which guarantee the best accuracy of the estimates for fixed costs. These “optimum” sample sizes can be, in some cases, computable but not admissible. In other cases, they can be neither admissible nor computable. The main goal of this paper is to propose a solution for both these situations. It will be clear that in both situations the solution is to consider a M-PhS scheme with one or more phases less.
KeywordsAuxiliary variables Cost constraints Multi-phase sampling Optimality
Unable to display preview. Download preview PDF.
- Diana G, Tommasi C, Preo P (2004) Estimation for finite population mean under multi-phase sampling. Atti della XLII Riunione Scientifica SIS, Bari pp 525–528Google Scholar