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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Further results related with these distributions are also derived
📌 3 Key Takeaways
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Objective & Hypothesis:The so called matricvariate T-Riesz and beta-Riesz type II distributions, for real normed division algebras, are obtained in this paper with respect to the Lebesgue measure.
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Key Findings & Data:The addressed generalised matricvariate distributions are based on Kotz—Riesz type and II distributions and their corresponding independent Riesz distributions.
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Conclusion & Impact:Further results related with these distributions are also derived
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
The so called matricvariate T-Riesz and beta-Riesz type II distributions, for real normed division algebras, are obtained in this paper with respect to the Lebesgue measure. The addressed generalised matricvariate distributions are based on Kotz—Riesz type and II distributions and their corresponding independent Riesz distributions. Further results related with these distributions are also derived
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Cite This Article
DİAZ-GARCİA, J. A., GUTİERREZ--SANCHEZ, R. (2022). GENERALISED MATRICVARIATE T—DISTRIBUTION. İstatistik. Türk İstatistik Derneği Dergisi, Cilt: 9 - Sayı: 1, 1–16. https://ajindex.com/articles/555722