The Isotonic Regression Problem and its Dual

The isotonic regression problem is to minimize Σ t i = 1 [g i − x i ] 2 wi subject to x i ≤ x j when where w i >0 and g i (i= 1, 2, ..., k) are given and is a specified partial ordering on {1, 2, ..., k}. The solution is called the isotonic regression on g. We formulate a generalization of this p...

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Veröffentlicht in:Journal of the American Statistical Association 1972-03, Vol.67 (337), p.140-147
Hauptverfasser: Barlow, R. E., Brunk, H. D.
Format: Artikel
Sprache:eng
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Zusammenfassung:The isotonic regression problem is to minimize Σ t i = 1 [g i − x i ] 2 wi subject to x i ≤ x j when where w i >0 and g i (i= 1, 2, ..., k) are given and is a specified partial ordering on {1, 2, ..., k}. The solution is called the isotonic regression on g. We formulate a generalization of this problem and calculate its Fenchel dual. A function of the isotonic regression also solves these problems. Problems in inventory theory and statistics are identified as dual isotonic regression problems.
ISSN:0162-1459
1537-274X
DOI:10.1080/01621459.1972.10481216