We consider the design and performance of a class of truncated sequential nonparametric tests with two constant thresholds for testing a shtft in the alternative. The design involves calculation of the thresholds and the truncation point. We propose to use the Asymptotic Relative EfJiciency (ARE) fo
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Distribution of a random walk with an application to a truncated nonparametric sequential test
β Scribed by Tantaratana, S.
- Book ID
- 119813746
- Publisher
- IEEE
- Year
- 1981
- Tongue
- English
- Weight
- 252 KB
- Volume
- 69
- Category
- Article
- ISSN
- 0018-9219
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## Abstract This paper presents a method to test for multimodality of an estimated kernel density of derivative estimates from a nonparametric regression. The test is included in a study of nonparametric growth regressions. The results show that in the estimation of unconditional Ξ²βconvergence the