Sentence examples for structure of the series from inspiring English sources

Rust describes these cycles as "time [running along] a flat circle" – a line he picked up from the murderous Reggie Ledoux, and it looks like the call-and-answer structure of the series will follow through right to the end.

Presumably the producers' realization of what they had in Maria and her bright, gorgeous, unfettered children led to the bifurcated structure of the series, and it's the ups but mostly downs of her last eight months on earth that make "Time of Death" worth watching.

For example, to someone who says that since "the rule of expansion determine[s] the series completely," "it must implicitly determine all questions about the structure of the series," Wittgenstein replies: "Here you are thinking of finite series" (RFM V, §11).

The null hypothesis that the series y t, which is a realization of a time series process, is considered by the presence of a unit root, but the standard classification is generalized in order to allow a one-time change in the structure of the series at a time T B where (1 < T B  < T).

Jeff Gerstmann of Giant Bomb considered the heist missions a welcome deviation from the typical missions structure of the series.

By 2005, Nesbitt had become tired of the formula and threatened to quit unless the structure of the series was changed.

Results from the bioassay based on a double fluorochrome staining were worthy to be described because they provide a clue to the mode of action of one (18) of the most promising anticancer lead structures of the series.

The room temperature crystal structures of the series of mono-spiro compounds containing 5-, 6- and 7-membered phosphate rings, N3P3Cl4 [O(CH2 2O], (1) N3P3Cl4 [O(CH2 3O] (2) and N3P3Cl4 [O(CH2 4O] (3) respectively, were reported by Contractor et al [1].

This paper is the third and final in a sequence investigating the structure of this series.

Thus, the fourth class of model, the Structural Time Series (STS) model, maintains the structure of the time series, which is composed of trend and, seasonal, cyclical, and irregular components, without however attempting to build a fully specified model.

Modelling artificial neural networks for accurate time series prediction poses multiple challenges, in particular specifying the network architecture in accordance with the underlying structure of the time series.