中和 发表于 2025-3-23 12:22:44
Bootstrapping Empirical Functions,ussian processes. Apart from a few special cases (cf. Section 8), these limiting processes are functions of the underlying distributions. Consequently when testing for statistical hypotheses for example, one would have to compute the resulting limiting distribution for each F of interest. The same iMisnomer 发表于 2025-3-23 17:48:16
Die Mediatisierung sozialer Weltenplots were used to test exponentiality in general by Epstein and Sobel (.1953) and against increasing or decreasing failure rate and other life distribution classes of interest by Barlow and Campo (1975), Kiefsjö (1983a,1983b), and Doksum and Yandell (1984).Charade 发表于 2025-3-23 18:50:32
http://reply.papertrans.cn/16/1549/154877/154877_13.pngGOAT 发表于 2025-3-24 00:40:01
https://doi.org/10.1007/978-3-642-92452-1s. We give results on strong consistency and asymptotic normality. Some of these results have been known, or must have been known, in some special cases, or in general as well, perhaps under more stringent regularity conditions. Our versions are obtained as very simple applications of the so far achIntend 发表于 2025-3-24 05:20:16
Auxiliary Processes: Integrals of Empirical Process,和平 发表于 2025-3-24 08:00:31
An Asymptotic Theory for Empirical Reliability and Concentration Processes收到 发表于 2025-3-24 10:46:37
Introduction,plots were used to test exponentiality in general by Epstein and Sobel (.1953) and against increasing or decreasing failure rate and other life distribution classes of interest by Barlow and Campo (1975), Kiefsjö (1983a,1983b), and Doksum and Yandell (1984).晚间 发表于 2025-3-24 16:45:47
http://reply.papertrans.cn/16/1549/154877/154877_18.pngPastry 发表于 2025-3-24 21:04:56
http://reply.papertrans.cn/16/1549/154877/154877_19.png委派 发表于 2025-3-24 23:21:10
Book 1986nequality (cf.,the proofs of Lemmas 2.4 and 3.2) and to the Hardy inequality (cf. the proof of part (iv) of Theorem 4.1). These and several other related remarks helped us push down the 2 moment condition to EX < 00 in all our weak approximation theorems.