Uniform Limit Theorems under length-biased sampling and type I censoring

نویسندگانSarah Jomhoori,
نشریهTheory of Stochastic Processes
شماره صفحات93-106
شماره سریال25
شماره مجلد41
نوع مقالهFull Paper
تاریخ انتشار2020
رتبه نشریهISI
نوع نشریهالکترونیکی
کشور محل چاپاوکراین
نمایه نشریهScopus

چکیده مقاله

In recent years, in view of theory of empirical processes, authors have become more interested in the uniform analogue of the three fundamental theorems: the uniform law of large numbers of Glivenko-Cantelli type, the uniform central limit theorem for Donsker type and the functional law of the iterated logarithm (LIL). In this paper, under the bracketing entropy conditions, the uniform law of large numbers, uniform central limit theorem and the uniform LIL of Strassen type have been investigated in the case of length-biased and type I censoring.

لینک ثابت مقاله

tags: Bracketing entropy, Length-biased sampling, Uniform limit theorems.