time series in English

noun
1
a series of values of a quantity obtained at successive times, often with equal intervals between them.
The statistical analysis of environmental time series has to take these points into account.

Use "time series" in a sentence

Below are sample sentences containing the word "time series" from the English Dictionary. We can refer to these sentence patterns for sentences in case of finding sample sentences with the word "time series", or refer to the context using the word "time series" in the English Dictionary.

1. Autocorrelation plot for time series

2. Figure 8.1: Autocorrelated Time Series

3. Returns the Covariance matrix of the DataFrame’s time series

4. Autocorrelation is an important part of time series analysis

5. The Autocorrelation function (ACF) at lag k, for k ≥ 0, of the time series is defined by The variance of the time series is s0

6. Advanced Signal processing (visual analysis, time series analysis, expert systems)

7. Annotation charts are interactive time series line charts that support Annotations

8. Time series Algorithms show how a given value changes over time

9. The limitlessness, mobility, and irregularity of time series data stream make the traditional frequent-pattern mining algorithms difficult to extend to the mining problem of time series data stream.

10. Another approach applied an inverse algorithm to a time series of measurements.

11. Access and query the FAO/Fisheries time-series online using query panels.

12. Time-series analyses did not support the hypothesis of cyclic winter invasions.

13. So, Bumpiness is useful for datasets where order matters, in particular time series

14. It must need nonlinear method to reflect essence of the time series veritably.

15. An approach to retroactively estimate Catches in cases where reliable time series data are lacking applies a "re-estimation" approach to approximate historic catch time series (Zeller et al., 2006a)

16. In practice, the forecasts and Backcasts are obtained from a fitted time series model

17. Antithetic time series analysis is the solution to a most perplexing problem in mathe-

18. The data were analyzed interindividually (using regression analyses) and intraindividually (using time series analyses).

19. Statistical estimates depend on the time-series and the mathematical structure of the model used.

20. When the autocorrelation is used to identify an appropriate time series model, the Autocorrelations are

21. Antithetic time series analysis is the solution to a most perplexing problem in mathematical statistics

22. By calculating the longest common subsequence , finally, similarity searching in time-series data sets is realized.

23. Specifically, Autocorrelation is when a time series is linearly related to a lagged version of itself.

24. In other words, with time-series (and sometimes panel or logitudinal) data, Autocorrelation is a concern.

25. When Autocorrelation is high in a time series, it becomes easy to predict their future observations.

26. Specifically, Autocorrelation is when a time series is linearly related to a lagged version of itself

27. Consider the financial price time series, a given stock, your perfect stock, or a global index.

28. Time-series analysis is routinely found in physics, electronics, geophysics, astrophysics, Climatology, computer science and biometric applications

29. The multiple - goal decision method with time series was applied to the assessment of surface water quality.

30. Time Window Compaction Strategy Time Window Compaction Strategy is designed for TTL’ed, mostly immutable time series data.

31. Alluvial diagram for multiple time series / cross-sectional data based on Alluvial::Refugees data made with Alluvial_ts().

32. econdly, a table presents the two alternatives for the use of data in terms of time series

33. The stored values over time from these instruments constitute a time series of measurements that are often Autocorrelated

34. The problem here is how to discriminate between alternative ARIMA model specifications representing the same macroeconomic time series.

35. The coefficient of correlation between two values in a time series is called the Autocorrelation function (ACF) For example the ACF for a time series is given by: This value of k is the time gap being considered and is called the lag.

36. Autocorrelation measures the degree of similarity between a time series and a lagged version of itself over successive time intervals

37. Numerical simulations reproduced water level time series within the lagoon and gave good agreement between modelled and measured discharge rates.

38. We find that Carry predicts returns both in the cross section and time series for a variety of different asset classes.

39. In contrast to Akaike (1980) the initial values of the time series are considered as parameters for which unbiased estimators exist.

40. The authors relate aggregate job-finding rates to vacancies and the ratio of actual to expected wages using a time-series regression.

41. The Cardinality of a time series dataset is typically defined by the cross-product of the Cardinality of each individual indexed column

42. Analytics Intelligence Anomaly Detection is a statistical technique to identify “outliers” in time-series data for a given dimension value or metric.

43. In addition, the time series and area charts automatically sort by date, whereas other charts allow sorting by any dimension or metric.

44. In a validation analysis the comparison between SST data and time series as well as climatological in-situ temperatures showed very good correlations.

45. Backcasting is a statistical technique employed to ensure the coherence of the time series across time while maintaining economic history of a country

46. Feature Extraction from Ballistocardiograms Time Series: In this paper, we used the filtered time domain segments from received BCG signals as training features

47. Such techniques usually require the sample to be independent and identically distributed, which is not the case for a time series like security prices.

48. Center for Research in Econometric Analysis of Time Series, Creates, is a research unit at Aarhus BSS, hosted by the Department of Economics and Business Economics.The core group of members includes time series and financial econometricians from Aarhus University (Department of Economics and Business Economics) and the University of Copenhagen (Department of Mathematical Statistics).

49. Autocorrelation is a mathematical representation of the degree of similarity between a given time series and a lagged version of itself over successive time intervals.

50. The interface unit is configured to provide a sequence of time series angiographic 2D images of a vascular structure obtained after a contrast agent injection.