Adaptive Regression
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2026-08-08
2026-08-15
| 업데이트 일시 | 가격 |
|---|---|
| 2026-08-08 | 49,99 |
| 2026-08-14 | 44,99 |
| 2026-08-15 | 51,99 |
| 판매자 | Product price | Delivery | 합계 | 재고 여부 | Updated | |
|---|---|---|---|---|---|---|
| SP SpringerNatureLink Shop INT | 49,99 USD | 25,00 USD | 74,99 USD | 구매 가능 | 3일 전 | View offer |
| SP SpringerNatureLink Shop INT | 11 439,00 JPY | free | 11 439,00 JPY | 구매 가능 | 3일 전 | View offer |
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| SP SpringerNatureLink Shop INT | 79,99 USD | free | 79,99 USD | 구매 가능 | 3일 전 | View offer |
| SP SpringerNatureLink Shop INT | 89,99 USD | 25,00 USD | 114,99 USD | 구매 가능 | 3일 전 | View offer |
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| SP SpringerNatureLink Shop INT | 87,99 EUR | 29,00 EUR | 116,99 EUR | 구매 가능 | 3일 전 | View offer |
가격과 재고 여부는 변경될 수 있습니다. 마지막 업데이트: 08.08.2026 23:12.
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Linear regression is an important area of statistics, theoretical or applied. There have been a large number of estimation methods proposed and developed for linear regression. Each has its own competitive edge but none is good for all purposes. This manuscript focuses on construction of an adaptive combination of two estimation methods. The purpose of such adaptive methods is to help users make an objective choice and to combine desirable properties of two estimators.