7 citations · 9 across the 5 of their papers we have counts for
5 papers
Boundary-free Estimators of the Mean Residual Life Function by Transformation
Rizky Reza Fauzi, Yoshihiko Maesono
We propose two new kernel-type estimators of the mean residual life function of bounded or half-bounded interval supported distributions. Though not as severe as the bound…
Boundary-free Kernel-smoothed Goodness-of-fit Tests for Data on General Interval
Rizky Reza Fauzi, Yoshihiko Maesono
We propose kernel-type smoothed Kolmogorov-Smirnov and Cramér-von Mises tests for data on general interval, using bijective transformations. Though not as severe as in the kernel d…
Smoothed nonparametric two-sample tests
Taku Moriyama, Yoshihiko Maesono
We propose new smoothed median and the Wilcoxon's rank sum test. As is pointed out by Maesono et al.(2016), some nonparametric discrete tests have a problem with their significance…
A new kernel estimator of hazard ratio and its asymptotic mean squared error
Taku Moriyama, Yoshihiko Maesono
The hazard function is a ratio of a density and survival function, and it is a basic tool of the survival analysis. In this paper we propose a kernel estimator of the hazard ratio…
Smoothed nonparametric tests and their properties
Yoshihiko Maesono, Taku Moriyama, Mengxin Lu
In this paper we propose new smoothed sign and Wilcoxon's signed rank tests, which are based on a kernel estimator of the underlying distribution function of data. We discuss appro…