Amylase
发表于 2025-3-28 18:06:47
2194-1009 zation, and its international conferences are intended to foster the exchange of ideas and the latest advances and trends among researchers from around the world and to develop and disseminate nonparametric sta978-3-030-57308-9978-3-030-57306-5Series ISSN 2194-1009 Series E-ISSN 2194-1017
柔软
发表于 2025-3-28 20:37:08
Goodness-of-fit Test for the Baseline Hazard Rate,t statistic is given by an optimal estimator of the quadratic functional of the same function. Our test procedure attains the rate . over Besov classes of functions ., ., which is known to be minimax optimal in the context of testing the intensity function of a Poisson processes.
改变
发表于 2025-3-28 23:15:40
Kernel Circular Deconvolution Density Estimation,in a kernel-type estimator with weight functions that are reminiscent of deconvolution kernels. Here, differently from the Euclidean setting, discrete Fourier coefficients are involved rather than characteristic functions. We provide some simulation results along with a real data application.
破译密码
发表于 2025-3-29 03:48:05
978-3-030-57308-9Springer Nature Switzerland AG 2020
阴险
发表于 2025-3-29 10:03:28
Nonparametric Statistics978-3-030-57306-5Series ISSN 2194-1009 Series E-ISSN 2194-1017
Admire
发表于 2025-3-29 11:45:46
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considerable
发表于 2025-3-29 16:54:25
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捕鲸鱼叉
发表于 2025-3-29 22:24:14
https://doi.org/10.1007/978-3-030-57306-5nonparametric statistics; semiparametric statistics; dependent data; nonparametric curve estimation; per
LIKEN
发表于 2025-3-30 01:55:51
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Bother
发表于 2025-3-30 07:40:04
Change of Measure Applications in Nonparametric Statistics,r the null hypothesis. Hoeffding introduced a change of measure formula for the ranks of the observed data which led to obtaining locally most powerful rank tests. In this paper, we review these methods and propose a new approach which leads on the one hand to new derivations of existing statistics.