Local likelihood ratio tests in the normal mixture model
β Scribed by Yanhong Wu; Yongxia Xu
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 83 KB
- Volume
- 50
- Category
- Article
- ISSN
- 0167-7152
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β¦ Synopsis
The test for homogeneity in the mixture normal model is di cult to study due to the breakdown of the regularity conditions under standard theory. The asymptotic optimality of the likelihood ratio test is questionable and its distributional properties are also di cult to evaluate. In this paper, we consider and compare several tests based on the local likelihood ratio which are shown to be quite competitive compared with the generalized likelihood ratio test.
π SIMILAR VOLUMES
This article concerns with the problem of testing whether a mixture of two normal distributions with bounded means and speciΓΏc variance is simply a pure normal. The large sample behavior of the likelihood ratio test for the problem is carefully investigated. In the case of one mean parameter, it is
Let \(\boldsymbol{W}\) be a \(p \times p\) matrix distributed according to the Wishart distribution \(W_{p}(n, \boldsymbol{\Phi})\) with \(\boldsymbol{\Phi}\) positive definite and \(n \geqslant p\). Let \(\left(m / \sigma^{2}\right) g\) be distributed according to the chi-squared distribution \(\ch