热爱
发表于 2025-3-21 18:40:48
书目名称Statistical Inference Based on Kernel Distribution Function Estimators影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0876434<br><br> <br><br>书目名称Statistical Inference Based on Kernel Distribution Function Estimators影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0876434<br><br> <br><br>书目名称Statistical Inference Based on Kernel Distribution Function Estimators网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0876434<br><br> <br><br>书目名称Statistical Inference Based on Kernel Distribution Function Estimators网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0876434<br><br> <br><br>书目名称Statistical Inference Based on Kernel Distribution Function Estimators被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0876434<br><br> <br><br>书目名称Statistical Inference Based on Kernel Distribution Function Estimators被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0876434<br><br> <br><br>书目名称Statistical Inference Based on Kernel Distribution Function Estimators年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0876434<br><br> <br><br>书目名称Statistical Inference Based on Kernel Distribution Function Estimators年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0876434<br><br> <br><br>书目名称Statistical Inference Based on Kernel Distribution Function Estimators读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0876434<br><br> <br><br>书目名称Statistical Inference Based on Kernel Distribution Function Estimators读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0876434<br><br> <br><br>
隐士
发表于 2025-3-22 00:12:08
Kernel-Based Nonparametric Tests,ions of their test statistics converge to the same distributions as their unsmoothed counterpart, their improvement in minimizing errors can be proven. Some simulation results illustrating the estimator and the tests’ performances will be presented in the last part of this article.
遗产
发表于 2025-3-22 02:22:46
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芭蕾舞女演员
发表于 2025-3-22 07:46:31
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Adulterate
发表于 2025-3-22 12:15:14
Kernel Distribution Function Estimator,r and its properties, a method to reduce the mean integrated squared error for kernel distribution function estimators is also proposed. It can be shown that the asymptotic bias of the proposed method is considerably smaller in the sense of convergence rate than that of the standard one, and even th
kyphoplasty
发表于 2025-3-22 15:58:10
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amyloid
发表于 2025-3-22 20:59:00
Mean Residual Life Estimator,l density estimation, eliminating the boundary bias problems that occur in the naive kernel estimator of the mean residual life function is needed. Here, the property of bijective transformation is once again utilized to define two boundary-free kernel-based mean residual life function estimators. F
Hemiparesis
发表于 2025-3-23 00:23:02
Kernel-Based Nonparametric Tests,nown statistical tests are introduced. The three tests consist of Kolmogorov-Smirnov, Cramér-von Mises, and Wilcoxon signed test. Though the distributions of their test statistics converge to the same distributions as their unsmoothed counterpart, their improvement in minimizing errors can be proven
散布
发表于 2025-3-23 01:57:04
Kernel Distribution Function Estimator,e variance of the proposed method is smaller up to some constants. The idea of this method is using a self-elimination technique between two standard kernel distribution function estimators with different bandwidths, with some helps of exponential and logarithmic expansions. As a result, the mean squared error can be reduced.
Ambiguous
发表于 2025-3-23 08:42:43
Kernel Quantile Estimation, is nonstandard since the influence function of the resulting .-statistic explicitly depends on the sample size. We obtain the expansion, justify its validity and demonstrate the numerical gains in using it.