A Clt for Empirical Processes Involving Time-dependent Data by James Kuelbs,

نویسندگان

  • THOMAS KURTZ
  • JOEL ZINN
  • J. ZINN
چکیده

converges in distribution in a sense described more completely below. Hence limit theorems for such processes, such as the law of large numbers and the central limit theorem (CLT), allow one to asymptotically get uniform estimates for the unknown cdf, F(y)= Pr(X ≤ y), via the sample data. A more general version of these processes is to replace the indicators of halflines in (1) by functions of a “random variable” taking values in some abstract space (S,S). More specifically, { 1 √ n n ∑

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تاریخ انتشار 2013