On Estimating a Linear Combination of Strata Means with Random Sample Sizes
โ Scribed by K. He
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 715 KB
- Volume
- 55
- Category
- Article
- ISSN
- 0047-259X
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โฆ Synopsis
In finite sampling it is widely believed that the probability sampling distribution is irrelevant for inference from a given sample. A super-population model in stratified sampling is investigated to show that the probability sampling distribution is relevant. It is proved that the traditional estimator of a linear combination of strata means, which is admissible and minimax when the vector of sample sizes is fixed, is inadmissible when the vector of sample sizes is random. Two alternative estimators are investigated. Based on analysis which is partly analytical and partly numerical, it appears that both of them are better than the traditional estimator. (1995 Academic Press, Inc.
๐ SIMILAR VOLUMES
The problem of testing the equality of means of two normal populations is considered when independent random samples of random sizes are given with the total number of observations from both populations being n fixed number. An application in forestry is discussed.
## Summuy I n this paper we study the problem of eatimating the mean when the number of observations taken on each unit is 8 random variable. The estimator proposed by M. SIXOH and V. K. GUPTA (1980) is discussed and modified. It is argued, however, that the arithmetic mean is a more appropriate c