Weak and Strong Limit Theorems for Stochastic Processes under Nonadditive Probability

المؤلفون المشاركون

Chen, Xiaoyan
Chen, Zengjing

المصدر

Abstract and Applied Analysis

العدد

المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-7، 7ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2014-02-13

دولة النشر

مصر

عدد الصفحات

7

التخصصات الرئيسية

الرياضيات

الملخص EN

This paper extends laws of large numbers under upper probability to sequences of stochastic processes generated by linear interpolation.

This extension characterizes the relation between sequences of stochastic processes and subsets of continuous function space in the framework of upper probability.

Limit results for sequences of functional random variables and some useful inequalities are also obtained as applications.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Chen, Xiaoyan& Chen, Zengjing. 2014. Weak and Strong Limit Theorems for Stochastic Processes under Nonadditive Probability. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1014432

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Chen, Xiaoyan& Chen, Zengjing. Weak and Strong Limit Theorems for Stochastic Processes under Nonadditive Probability. Abstract and Applied Analysis No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1014432

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Chen, Xiaoyan& Chen, Zengjing. Weak and Strong Limit Theorems for Stochastic Processes under Nonadditive Probability. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1014432

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1014432