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Maximum Likelihood Estimation in Generalized Broken-Line Regression

✍ Scribed by Ryan Gill


Book ID
111850955
Publisher
John Wiley and Sons
Year
2004
Tongue
French
Weight
751 KB
Volume
32
Category
Article
ISSN
0319-5724

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The maximum likelihood estimate in reduc
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## Abstract In previous work by Stoica and Viberg the reduced‐rank regression problem is solved in a maximum likelihood sense. The present paper proposes an alternative numerical procedure. The solution is written in terms of the principal angles between subspaces spanned by the data matrices. It i