Open AccessThe estimation of the convergence rate for maxima of random variables vectors
Author(s) -
Lina Dindienė,
Algimantas Aksomaitis
Publication year - 2010
Publication title -
lietuvos matematikos rinkinys
Language(s) - English
Resource type - Journals
eISSN - 2335-898X
pISSN - 0132-2818
DOI - 10.15388/lmr.2010.82
Subject(s) - independent and identically distributed random variables , normalization (sociology) , mathematics , maxima , rate of convergence , random variable , convergence (economics) , estimation , mathematical optimization , statistics , computer science , art , computer network , channel (broadcasting) , performance art , anthropology , economics , management , art history , economic growth , sociology
Linearly normalized maxima of independent and identically distributed random vectors is presented in this work. We’ve obtained nonuniform estimate of convergence in case when normalization is linear. For clearness there is given an example is this paper. Transfer theorem was aplied.