Sentence examples for different data series from inspiring English sources

According to a new analysis that looks for the first time across a range of different data series, far more older people receive attendance allowance or disability living allowance (DLA) than receive council care.

No economic data series is a magic bullet, which is why our technique is to account for several different data series and average them together.

We use four different data series from the EAT: (1) the number of work injuries at the industry level, (2) the number of work injuries at the occupation level, (3) the number of fatalities at the industry level, and (4) the number of fatalities at the occupation level.

In all these cases, a near-zero phase-lag relation between different data series is observed, reflecting the millisecond or even sub-millisecond precision required for feature integration [1], [7] [9].

Data points in the diagram are shifted along the x-axis to avoid points and error bars from different data series being superimposed.

So, just as the model hopes to increase accuracy by averaging different polls together, it will rely on an index of different economic data series as well.

The model accounts for this problem by looking at several different economic data series in addition to the jobs numbers.

In the following sections, we discuss the results obtained from our method and model for different types of data series consisting of malaria incidences (SPR and P.vivax deaths) over different time periods and zones in Chennai city along with the climatic factors, population and previous incidences.

The short term behaviour of the two schemes is noticeably different, and the frequency content in the two data series appears different, with the MP5 scheme seeming to show more pronounced high-frequency modes.

Data for biogas engineering projects have been reported since the late 1990s by MOA (1996 2004); and the feature of these data series in different regions shows different patterns in comparison with household ones: Some are monotonously changed, while others have obvious fluctuations, thus forecast models should be more diverse according to circumstances.

In the case of models with complex linear terms, or where the data series shows different behaviour (such as upward and downward trends) in different periods of time, standard linear models can be fit with the intervention included as a variety of different functions.