Characterizing Distributions by Linearity of Regression of Generalized Order Statistics
| العنوان: | Characterizing Distributions by Linearity of Regression of Generalized Order Statistics |
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| المؤلفون: | Mohammad Ahsanullah, S. Samadi, Abbas Rasouli |
| المصدر: | Journal of Statistical Theory and Applications (JSTA), Vol 15, Iss 2 (2016) |
| بيانات النشر: | Atlantis Press, 2016. |
| سنة النشر: | 2016 |
| مصطلحات موضوعية: | Statistics and Probability, Polynomial regression, Applied Mathematics, Order statistic, Linearity, Conditional expectation, 01 natural sciences, Regression, Computer Science Applications, 010104 statistics & probability, TheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITY, Statistics, Kernel regression, 0101 mathematics, lcsh:Probabilities. Mathematical statistics, generalized order statistics, Linearity of regression, lcsh:QA273-280, Mathematics |
| الوصف: | Let X1,..., Xn be a random sample from an absolutely continuous (with respect to Lebesgue measure) distribution with the corresponding generalized order statistics X(1, n, m~, k),..., X(n, n, m~, k). In this paper, we present some characterization of distributions when linearity of regression E[X(s, n, m~, k)|X(r, n, m~, k)=x]=ax+b is identified. |
| اللغة: | English |
| تدمد: | 1538-7887 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::592355756260b2fe56f642285f5b6648 https://www.atlantis-press.com/article/25856820.pdf |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....592355756260b2fe56f642285f5b6648 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15387887 |
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