Testing for affine equivalence of elliptically symmetric distributions
β Scribed by A.K. Gupta; N. Henze; B. Klar
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 238 KB
- Volume
- 88
- Category
- Article
- ISSN
- 0047-259X
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β¦ Synopsis
Let X and Y be d-dimensional random vectors having elliptically symmetric distributions. Call X and Y affinely equivalent if Y has the same distribution as AX ΓΎ b for some nonsingular d Γ d-matrix A and some bAR d : This paper studies a class of affine invariant tests for affine equivalence under certain moment restrictions. The test statistics are measures of discrepancy between the empirical distributions of the norm of suitably standardized data.
π SIMILAR VOLUMES
Let X ; V 1 ; y; V nΓ1 be n random vectors in R p with joint density of the form where both y and S are unknown. We consider the problem of the estimation of y with the invariant loss Γ°d Γ yΓ 0 S Γ1 Γ°d Γ yΓ and propose estimators which dominate the usual estimator d 0 Γ°X Γ ΒΌ X simultaneously for th
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