Reduced rank regression assumes that the coefficient matrix in a multivariate regression model is not of full rank. The unknown rank is traditionally estimated under the assumption of normal responses. We derive an asymptotic test for the rank that only requires the response vector have finite secon
Rank regression with estimated scores
β Scribed by Joshua D. Naranjo; Joseph W. McKean
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 303 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0167-7152
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β¦ Synopsis
Rank-based estimates are asymptotically efficient when optimal scores are used. This paper describes a method for estimating the optimal score function based on residuals from an initial fit. The resulting adaptive estimate is shown to be asymptotically efficient.
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