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Seite 67
Let X , ... , X , be independent random variables , where the distribution function of X , is F ( X ,; 0 , ) . For any fixed i ( 15 is k ) , if $ = $ ( X , , .. , X , ) is a non - decreasing ( non- increasing ) function of X , when all ...
Let X , ... , X , be independent random variables , where the distribution function of X , is F ( X ,; 0 , ) . For any fixed i ( 15 is k ) , if $ = $ ( X , , .. , X , ) is a non - decreasing ( non- increasing ) function of X , when all ...
Seite 141
Consider a simple random sample of n observations , where sampling is done with replacement from finite populations . The n observations are EX 1 = n . ( P ) classified into k mutually exclusive classes , where the class counts k are ...
Consider a simple random sample of n observations , where sampling is done with replacement from finite populations . The n observations are EX 1 = n . ( P ) classified into k mutually exclusive classes , where the class counts k are ...
Seite 342
Approximation theorems for strong mixing random variables . Michigan Math . J. 30 . ( 4 ) Chernoff , H. , Gastwirth , J.L. , and Johns , M.V. , Jr. ( 1967 ) . " Asymptotic distribution of linear combinations of order statistics ...
Approximation theorems for strong mixing random variables . Michigan Math . J. 30 . ( 4 ) Chernoff , H. , Gastwirth , J.L. , and Johns , M.V. , Jr. ( 1967 ) . " Asymptotic distribution of linear combinations of order statistics ...
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