Quantile regression
statistical model
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Quantile regression
Summary
Quantile regression is a regression analysis[1]. It draws 246 Wikipedia views per month (regression_analysis category, ranking #1 of 2).[2]
Key Facts
- Quantile regression is credited with the discovery of Roger Koenker[3].
- Quantile regression's instance of is recorded as regression analysis[4].
- Quantile regression's Freebase ID is recorded as /m/03gt8xh[5].
- Quantile regression's ACM Classification Code is recorded as 10003668[6].
- Quantile regression's defining formula is recorded as Q_{Y}(\tau)=F_{Y}^{-1}(\tau) = \inf\left{ yF_{Y}(y)\geq\tau\right}[7].
- Quantile regression's Google Knowledge Graph ID is recorded as /g/122xk_sz[8].
- Quantile regression's JSTOR topic ID is recorded as quantile-regression[9].
- Quantile regression's STW Thesaurus for Economics ID is recorded as 30254-0[10].
- Quantile regression's maintained by WikiProject is recorded as WikiProject Mathematics[11].
- Quantile regression's Microsoft Academic ID is recorded as 63817138[12].
- Quantile regression's OpenAlex ID is recorded as C63817138[13].
Body
Works and Contributions
Quantile regression is credited with the discovery of Roger Koenker[3].
Why It Matters
Quantile regression draws 246 Wikipedia views per month (regression_analysis category, ranking #1 of 2).[2] It has Wikipedia articles in 10 language editions, a strong signal of global cultural recognition.[14]