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  2. Time series - Wikipedia

    en.wikipedia.org/wiki/Time_series

    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.

  3. Time series database - Wikipedia

    en.wikipedia.org/wiki/Time_series_database

    A time series database is a software system that is optimized for storing and serving time series through associated pairs of time(s) and value(s). [1] In some fields, time series may be called profiles, curves, traces or trends. [ 2 ]

  4. Category:Time series - Wikipedia

    en.wikipedia.org/wiki/Category:Time_series

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  5. Bayesian structural time series - Wikipedia

    en.wikipedia.org/.../Bayesian_structural_time_series

    Bayesian structural time series (BSTS) model is a statistical technique used for feature selection, time series forecasting, nowcasting, inferring causal impact and other applications. The model is designed to work with time series data. The model has also promising application in the field of analytical marketing. In particular, it can be used ...

  6. TimescaleDB - Wikipedia

    en.wikipedia.org/wiki/TimescaleDB

    TimescaleDB is an open-source time series database [3] [4] [5] developed by Timescale Inc. It is written in C and extends PostgreSQL. [6] [7] TimescaleDB is a relational database [8] and supports standard SQL queries. Additional SQL functions and table structures provide support for time series data oriented towards storage, performance, and ...

  7. The 7 Discontinued Items From McDonald’s That We Miss the Most

    www.aol.com/7-discontinued-items-mcdonald-miss...

    There are currently 13,544 McDonald’s locations in the United States.. That makes it the third largest restaurant chain in the country — following Subway and Starbucks with 20,325 and 15,988 ...

  8. Decomposition of time series - Wikipedia

    en.wikipedia.org/wiki/Decomposition_of_time_series

    This is an important technique for all types of time series analysis, especially for seasonal adjustment. [2] It seeks to construct, from an observed time series, a number of component series (that could be used to reconstruct the original by additions or multiplications) where each of these has a certain characteristic or type of behavior.

  9. Number 1 expert tip for Travel Tuesday deals: Save on flights ...

    www.aol.com/navigate-travel-tuesday-deals...

    The Points Guy founder Brian Kelly joined "GMA" on Tuesday to discuss the current airfare landscape and shared some additional insights to help ensure people find a deal that's a good fit.