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
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:
Reza Farhadian - Department of basic sciences, Lorestan university
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/