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- {\hat {\sigma }}{c_{4}(2N+1)}}} , where c4 is the correction factor used to unbias estimates of standard deviation for normal random variables. To find the...16 KB (2,183 words) - 11:03, 20 July 2024
- adopted for rollout in the UK by EPSRC. Jirotka's other projects include: UnBias and ReEnTrust - research projects that examine the way algorithms are used...12 KB (1,254 words) - 16:01, 13 October 2023
- V_{1}^{2}/V_{2}=N_{eff}} is the effective sample size). This means that to unbias our estimator we need to pre-divide by 1 − ( V 2 / V 1 2 ) {\displaystyle...44 KB (8,991 words) - 00:57, 27 September 2024
- {\displaystyle w_{i}} , there are two objectives in the geostatistical formalism: unbias and minimal variance of estimation. If the cloud of real values Z ( x 0...39 KB (6,055 words) - 16:25, 13 October 2024
- prestigious weekly in Marathi, Since, 1958.which was considered as the most unbias and illuminating. He started writing by his own name since, 1961, in the...2 KB (281 words) - 07:17, 28 April 2020
- EU is Failing Migrants' Last Rights" The Guardian, Süddeutsche Zeitung, Unbias the News, Solomon, Balkan Insight, El Diario, l'Espresso, Telegram, Lithuanian...23 KB (1,109 words) - 05:59, 21 October 2024
- "TELLING TALES OF ENGAGEMENT: RAISING AWARENESS OF HUMAN RIGHTS ISSUES". Unbias. December 22, 2019. Retrieved March 14, 2022. "About – Human Liberty". Retrieved...17 KB (1,730 words) - 13:20, 7 September 2024
- na Univerzite Komenského v Bratislave k 31. 10. 2012" (PDF) (in Slovak). Unbia.sk. Archived from the original (PDF) on 23 August 2013. Retrieved 28 May...27 KB (3,143 words) - 03:18, 10 November 2024
- From un- + bias. unbias (third-person singular simple present unbiases or unbiasses, present participle unbiasing or unbiassing, simple past and past
- adj. not bestowed or conferred. Unbettered, un-bet′ėrd, adj. unmitigated. Unbias, un-bī′as, v.t. to free from bias or prejudice.—adj. Unbī′assed, free from
- L. Hamilton and R. K. Gifford (1976) and concludes that observing in a unbias manner will bring more accurate judgments. Clinicians, because they are