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Titlebook: An Asymptotic Theory for Empirical Reliability and Concentration Processes; Miklós Cs?rg?,Sándor Cs?rg?,Lajos Horváth Book 1986 Springer-V

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21#
發(fā)表于 2025-3-25 03:57:06 | 只看該作者
0930-0325 Marshall inequality (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.978-0-387-96359-4978-1-4615-6420-1Series ISSN 0930-0325 Series E-ISSN 2197-7186
22#
發(fā)表于 2025-3-25 08:14:44 | 只看該作者
https://doi.org/10.1007/978-1-4615-6420-1Bootstrapping; Variance; probability; statistics
23#
發(fā)表于 2025-3-25 15:41:07 | 只看該作者
24#
發(fā)表于 2025-3-25 18:13:16 | 只看該作者
25#
發(fā)表于 2025-3-25 23:33:36 | 只看該作者
26#
發(fā)表于 2025-3-26 01:52:55 | 只看該作者
https://doi.org/10.1007/978-3-642-92452-1 the basic empirical diversity process is the empirical Lorenz process £ (?) and the basic empirical concentration process is the empirical Goldie concentration process c (?). In their recent survey Patil and Taillie (1982) mention a few more indices as possible competitors of the Gini coefficient o
27#
發(fā)表于 2025-3-26 05:08:39 | 只看該作者
28#
發(fā)表于 2025-3-26 11:02:51 | 只看該作者
https://doi.org/10.1007/978-3-642-92452-1ussian 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 i
29#
發(fā)表于 2025-3-26 15:37:00 | 只看該作者
Lecture Notes in Statisticshttp://image.papertrans.cn/a/image/154877.jpg
30#
發(fā)表于 2025-3-26 18:20:21 | 只看該作者
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