@article{oai:kitami-it.repo.nii.ac.jp:00008106,
 author = {中尾, 隆志 and 佐渡, 公明 and 杉山, 一郎},
 journal = {水工学論文集},
 month = {Feb},
 note = {A non-stationary time series is composed of a trend and some jumps within a mean value. A non-stationary
frequency analysis to calculate a design rainfall must be performed for a non-stationary rainfall data.
In this paper, the Monte Carlo simulation is applied to compare the power of the statistical tests: Student’s t test,
Mann-Kendall test, Mann-Whitney test and bootstrap test to assess the significance of trend and jump for a time
series with General Extreme Value distribution. Practical assessment of the significance of trends and jumps in the
annual maximum daily rainfall of 22 meteorological observatories in Hokkaido demonstrates that a positive trend is
significant for Sapporo and Tomakomai, one jump is significant for six observatories, two and three jumps are
significant for Esashi and Kushiro, respectively.},
 pages = {301--306},
 title = {年最大日雨量時系列の非定常性を示すトレンドとジャンプの検出について},
 volume = {51},
 year = {2007}
}