- #1
EngWiPy
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Suppose that I have these random variables ##\eta_k=\alpha_k/\beta_k## for ##k=1,\,2,\,\ldots,\,K##, where ##\{\alpha_k,\,\beta_k\}## are i.i.d. random variables. Now suppose that I select ##M\leq K## random variables such that denominators are the largest ##M## random variables. That is, suppose that ##\beta_{(1)}\geq\beta_{(2)}\geq\cdots\geq \beta_{(K)}##. Then the resulting composite random variables are ##\eta_{i_k}=\alpha_{i_k}/\beta_{(k)}##, for ##k=1,\,2,\,\ldots,\,M##, where ##i_k## is the index that corresponds to the ##k##th largest random variables ##\beta_{(k)}##.
I want to find the CDF of ##\max_{k}\eta_{i_k}##, which is defined as
[tex]\text{Pr}\left[\max_{k=1,...,M}\,\eta_{i_k}\leq x\right][/tex]
how can I find it? If the random variables ##\{\eta_{i_k}\}## are independent, we can write the above probability as
[tex]\prod_{k=1}^N\text{Pr}\left[\eta_{i_k}\leq x\right][/tex]
but they are not independent because of the ordered denominator. So, how can it be found then?
Thanks in advance
I want to find the CDF of ##\max_{k}\eta_{i_k}##, which is defined as
[tex]\text{Pr}\left[\max_{k=1,...,M}\,\eta_{i_k}\leq x\right][/tex]
how can I find it? If the random variables ##\{\eta_{i_k}\}## are independent, we can write the above probability as
[tex]\prod_{k=1}^N\text{Pr}\left[\eta_{i_k}\leq x\right][/tex]
but they are not independent because of the ordered denominator. So, how can it be found then?
Thanks in advance