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 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
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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. |
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ISSN: | 0162-1459 1537-274X |
DOI: | 10.1080/01621459.1972.10481216 |