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Time series: random data plus trend, with best-fit line and different applied filters. In mathematics, a time series is a series of data points indexed (or listed or graphed) in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time.
Katakana: ヒヒイロカネ or kanji: 緋々色金 It is a red-orange fantasy metal that is common in Japanese fiction. Hyperium: Giants series One of three stable transuranic elements predicted by the new science of nucleonics in James P. Hogan's Giants series. Not naturally occurring outside of neutron stars, but trace amounts are created in ...
Materials science in science fiction is the study of how materials science is portrayed in works of science fiction.The accuracy of the materials science portrayed spans a wide range – sometimes it is an extrapolation of existing technology, sometimes it is a physically realistic portrayal of a far-out technology, and sometimes it is simply a plot device that looks scientific, but has no ...
Sometimes the far future genre moves from science fiction to fantasy, showing a society where civilization has regressed to the point where older technologies are no longer understood and are seen as magic. This subgenre is sometimes known as the "far future fantasy" [2] and partially overlaps with the science fantasy genre. [3]
The time series included yearly, quarterly, monthly, daily, and other time series. In order to ensure that enough data was available to develop an accurate forecasting model, minimum thresholds were set for the number of observations: 14 for yearly series, 16 for quarterly series, 48 for monthly series, and 60 for other series.
To estimate the Hurst exponent, one must first estimate the dependence of the rescaled range on the time span n of observation. [7] A time series of full length N is divided into a number of nonoverlapping shorter time series of length n, where n takes values N, N/2, N/4, ... (in the convenient case that N is a power of 2).
There was also a CD-ROM version in 1995, styled variously as The Multimedia Encyclopedia of Science Fiction and Grolier Science Fiction. [4] This contained text updates through 1995, hundreds of book covers and author photos, a small number of old film trailers, and author video clips taken from the TVOntario series Prisoners of Gravity .
Sverre Aarseth at the University of Cambridge (UK) has dedicated his entire scientific life to the development of a series of highly efficient N-body codes for astrophysical applications which use adaptive (hierarchical) time steps, an Ahmad-Cohen neighbour scheme and regularization of close encounters. Regularization is a mathematical trick to ...