On Some Conditions for Strong Law of Large Numbers for Weighted Sums of END Random Variables under Sublinear Expectations

المؤلفون المشاركون

Wu, Qunying
Ma, Xiaochen

المصدر

Discrete Dynamics in Nature and Society

العدد

المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-8، 8ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2019-04-11

دولة النشر

مصر

عدد الصفحات

8

التخصصات الرئيسية

الرياضيات

الملخص EN

In this article, we research some conditions for strong law of large numbers (SLLNs) for weighted sums of extended negatively dependent (END) random variables under sublinear expectation space.

Our consequences contain the Kolmogorov strong law of large numbers and the Marcinkiewicz strong law of large numbers for weighted sums of extended negatively dependent random variables.

Furthermore, our results extend strong law of large numbers for some sequences of random variables from the traditional probability space to the sublinear expectation space context.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Ma, Xiaochen& Wu, Qunying. 2019. On Some Conditions for Strong Law of Large Numbers for Weighted Sums of END Random Variables under Sublinear Expectations. Discrete Dynamics in Nature and Society،Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1146552

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Ma, Xiaochen& Wu, Qunying. On Some Conditions for Strong Law of Large Numbers for Weighted Sums of END Random Variables under Sublinear Expectations. Discrete Dynamics in Nature and Society No. 2019 (2019), pp.1-8.
https://search.emarefa.net/detail/BIM-1146552

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Ma, Xiaochen& Wu, Qunying. On Some Conditions for Strong Law of Large Numbers for Weighted Sums of END Random Variables under Sublinear Expectations. Discrete Dynamics in Nature and Society. 2019. Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1146552

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1146552