chaos_kiyono https://blog.hatena.ne.jp/chaos_kiyono/ Ken-Chaos’s Random Notes on R https://chaos-r.hatenadiary.jp/ Fundamentals of Fractal Time Series Analysis Detrended Fluctuation Analysis (DFA) is a widely used method for analyzing long-range correlations in time series data. It is often applied to signals related to: Long-memory processes Fractal time series Fractional Brownian motion (fBm) Fractional Gaussian noise (fGn) ARFIMA models According to the… 190 <iframe src="https://hatenablog-parts.com/embed?url=https%3A%2F%2Fchaos-r.hatenadiary.jp%2Fentry%2F2026%2F02%2F20%2F161653" title="Which Is Better for Long-Range Dependence and Fractal Time Series Analysis: DFA or DMA? - Ken-Chaos’s Random Notes on R" class="embed-card embed-blogcard" scrolling="no" frameborder="0" style="display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;"></iframe> https://www.researchgate.net/publication/261732358/figure/fig2/AS%3A669296355188745%401536584094229/Color-online-The-log-log-plots-of-fluctuation-functions-F-q-s-vs-scale-s-color.png Hatena Blog https://hatena.blog 2026-02-20 16:16:53 rich https://chaos-r.hatenadiary.jp/entry/2026/02/20/161653 1.0 100%