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Estimation methods on standard error of different statistical parameters

Kárász, Judit T. (2019) Estimation methods on standard error of different statistical parameters. Psychologia Hungarica Caroliensis, 7 (2). pp. 213-220. ISSN 2064-2504

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Abstract

In a statistical process it is important to make estimation on the standard error of our calculated parameters. There are many different algorithms to do it. In our article, we discuss closed formulas on some parameters. We describe the bootstrap and the jackknife general simulation algorithms. We describe the Fay’s BRR jackknife method too. Finally, we describe a mixed bootstrap-jackknife algorithm which applied in the National Assessment of Basic Competencies (NABC).

Item Type: Article
Additional Information: ISSN online: 2064-3101
Subjects: B Philosophy. Psychology. Religion / filozófia, pszichológia, vallás > BF Psychology / lélektan
Depositing User: Zsolt Baráth
Date Deposited: 07 Jun 2022 09:39
Last Modified: 07 Jun 2022 09:39
URI: http://real.mtak.hu/id/eprint/143463

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