# Design of experiments for linear regression models when gradient information is available

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/design-of-experiments-for-linear-regression-models-when-gradient-information-is/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yiou Li,Fred J. Hickernell |
| Citations | 3 |
| DOI | 10.1016/j.jspi.2013.01.010 |
| Fields | Decision Sciences,Mathematics |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2055674092 |
| Type | article |
| Year | 2013 |

## Paper authors

- [Yiou Li](https://scholariq.org/researchers/yiou-li/)

## Paper primary topic

- [Probabilistic and Robust Engineering Design](https://scholariq.org/topics/probabilistic-and-robust-engineering-design/)

## Paper topics

- [Probabilistic and Robust Engineering Design](https://scholariq.org/topics/probabilistic-and-robust-engineering-design/)
- [Optimal Experimental Design Methods](https://scholariq.org/topics/optimal-experimental-design-methods/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.