Spartan 发表于 2025-3-25 04:49:03
http://reply.papertrans.cn/87/8643/864282/864282_21.png连锁,连串 发表于 2025-3-25 09:58:52
http://reply.papertrans.cn/87/8643/864282/864282_22.png显而易见 发表于 2025-3-25 13:15:03
http://reply.papertrans.cn/87/8643/864282/864282_23.png顾客 发表于 2025-3-25 18:26:56
http://reply.papertrans.cn/87/8643/864282/864282_24.pngCAMP 发表于 2025-3-25 20:08:54
Function Estimation,sion estimation and the related topic of goodness-of-fit testing, including a class of semiparametric goodness-of-fit tests. We consider the context of these papers, their contribution and their impact. Bickel’s first work on density estimation was carried out when this area was still in its infancyDebility 发表于 2025-3-26 03:20:11
http://reply.papertrans.cn/87/8643/864282/864282_26.pngAMEND 发表于 2025-3-26 05:57:29
http://reply.papertrans.cn/87/8643/864282/864282_27.pngNAG 发表于 2025-3-26 10:07:29
http://reply.papertrans.cn/87/8643/864282/864282_28.png救护车 发表于 2025-3-26 13:44:17
Robust Statistics,tesimal neighbourhoods” (Bickel1984b). It was the time when fundamental developments and understanding in robustness took place, and Peter Bickel has made deep contributions in this area. I am trying to place the results of the three papers in a new context of contemporary statistics.青石板 发表于 2025-3-26 19:34:22
Function Estimation,f these papers, their contribution and their impact. Bickel’s first work on density estimation was carried out when this area was still in its infancy and proved to be highly influential for the subsequent wide-spread development of density and curve estimation and goodness-of-fit testing.