@article{oai:kitami-it.repo.nii.ac.jp:00008105,
 author = {佐渡, 公明 and 中尾, 隆志 and 杉山, 一郎},
 journal = {水工学論文集},
 month = {Feb},
 note = {A non-stationary time series is composed of the trend and some jumps by the change of a mean value and a
variance. There is no study example which has dealt with the power of test for a jump of variance in a hydrological
time series.
In this paper, the Monte Carlo simulations are applied to compare the power of the statistical tests: Student’s
t test, F test, Mann-Whitney test and bootstrap test to assess the significance of jumps to affect the mean value and the
variance of a time series with Normal , Logarithm Normal and General Extreme Value distributions. And also, the
outliers in the annual maximum daily rainfall (MDR) and annual maximum non-rainfall days (NRD) data of each 22
meteorological observatories in Hokkaido are detected at Tomakomai and Hiroo for MDR data, and at Esashi for
NRD data, respectively. Then the normalized conditions to change these three outliers into normal values are
introduced by using a numerical simulation.},
 pages = {211--216},
 title = {水文時系列の平均値と分散のジャンプ検出および異常値の非異常値化},
 volume = {52},
 year = {2008}
}