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Helmert Matrix and its Consequences in Stochastic Processes

عنوان مقاله: Helmert Matrix and its Consequences in Stochastic Processes
شناسه ملی مقاله: MSCONFKHA01_008
منتشر شده در اولین همایش ملی ریاضی و آمار در سال 1395
مشخصات نویسندگان مقاله:

Reza Farhadian - Department of basic sciences, Lorestan university

خلاصه مقاله:
In this article, we want to show that the Helmert matrix has strong relationship with stochastic matrixes in modern probability theory. In fact, we want to show that we can build a stochastic matrix by Helmert matrix. Initial, we want to prove that if be the Helmert matrix of order n, then is a stochastic matrix and afterward we prove that the Markov chain by this stochastic matrix is regular and ergodic

کلمات کلیدی:
Helmert matrix, stochastic matrix, Markov chain, transition probability

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/617432/