I n this paper we shall consider the problem of judging how good an actual compromise allocation is compared to Neyman's optimum allocation for the case of stratified random sampling by obtaining a bound to the ratio of the corresponding variances. A solution to a more general version of the problem
On Allocation Problem in Stratified Sampling
โ Scribed by M. N. Deshpande; S. G. Prabhu-Ajgaonkab
- Publisher
- John Wiley and Sons
- Year
- 1989
- Tongue
- English
- Weight
- 170 KB
- Volume
- 31
- Category
- Article
- ISSN
- 0323-3847
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โฆ Synopsis
In this paper we discuss some aspects of allocation problem in stratified sampling.
๐ SIMILAR VOLUMES
The problem of determining the sample sizes in various strata when several characteristics are under study is formulated as a nonlinear multistage decision problem. Dynamic programming is used to obtain an integer solution to the problem.
When stratified random sampling ia used for the estimation of population mean, use of 'Combined ratio estimator' is well known. Some improved estimatore for population mean are proposed which are better than 'Combined ratio estimator' and mme other well known existing ones, from the point of view of
The procedure of determining the optimum sample size in each stratum in stratified sampling for several va.riables is expressed and solved as a multistage decision process through dynamic programming. Using data published elsewhere, the dynamic programming approach was shown to give results identica