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- Time_series abstract "A time series is a sequence of data points, measured typically at successive points in time spaced at uniform time intervals. Examples of time series are the daily closing value of the Dow Jones Industrial Average and the annual flow volume of the Nile River at Aswan. Time series are very frequently plotted via line charts. Time series are used in statistics, signal processing, pattern recognition, econometrics, mathematical finance, weather forecasting, earthquake prediction, electroencephalography, control engineering, astronomy, and communications engineering.Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series forecasting is the use of a model to predict future values based on previously observed values. While regression analysis is often employed in such a way as to test theories that the current values of one or more independent time series affect the current value of another time series, this type of analysis of time series is not called "time series analysis", which focuses on comparing values of a single time series at different points in time.Time series data have a natural temporal ordering. This makes time series analysis distinct from other common data analysis problems, in which there is no natural ordering of the observations (e.g. explaining people's wages by reference to their respective education levels, where the individuals' data could be entered in any order). Time series analysis is also distinct from spatial data analysis where the observations typically relate to geographical locations (e.g. accounting for house prices by the location as well as the intrinsic characteristics of the houses). A stochastic model for a time series will generally reflect the fact that observations close together in time will be more closely related than observations further apart. In addition, time series models will often make use of the natural one-way ordering of time so that values for a given period will be expressed as deriving in some way from past values, rather than from future values (see time reversibility.)Time series analysis can be applied to real-valued, continuous data, discrete numeric data, or discrete symbolic data (i.e. sequences of characters, such as letters and words in the English language.).".
- Time_series thumbnail Random-data-plus-trend-r2.png?width=300.
- Time_series wikiPageExternalLink timeseries.
- Time_series wikiPageExternalLink Time_series.
- Time_series wikiPageExternalLink opennn.
- Time_series wikiPageExternalLink pmc4.htm.
- Time_series wikiPageExternalLink paper.
- Time_series wikiPageExternalLink doku.php?id=tutorial:power_spectra_wavelet_analysis_and_coherence.
- Time_series wikiPageID "406624".
- Time_series wikiPageRevisionID "604480063".
- Time_series hasPhotoCollection Time_series.
- Time_series subject Category:Time_series_analysis.
- Time_series comment "A time series is a sequence of data points, measured typically at successive points in time spaced at uniform time intervals. Examples of time series are the daily closing value of the Dow Jones Industrial Average and the annual flow volume of the Nile River at Aswan. Time series are very frequently plotted via line charts.".
- Time_series label "Serie storica".
- Time_series label "Serie temporal".
- Time_series label "Szereg czasowy".
- Time_series label "Série temporal".
- Time_series label "Série temporelle".
- Time_series label "Tijdreeksanalyse".
- Time_series label "Time series".
- Time_series label "Zeitreihenanalyse".
- Time_series label "Временной ряд".
- Time_series label "متسلسلة زمنية".
- Time_series label "時系列".
- Time_series label "時間序列 (經濟學)".
- Time_series sameAs Časová_řada.
- Time_series sameAs Zeitreihenanalyse.
- Time_series sameAs Serie_temporal.
- Time_series sameAs Denbora_serie.
- Time_series sameAs Série_temporelle.
- Time_series sameAs Deret_waktu.
- Time_series sameAs Serie_storica.
- Time_series sameAs 時系列.
- Time_series sameAs 시계열.
- Time_series sameAs Tijdreeksanalyse.
- Time_series sameAs Szereg_czasowy.
- Time_series sameAs Série_temporal.
- Time_series sameAs m.024hw2.
- Time_series sameAs Q186588.
- Time_series sameAs Q186588.
- Time_series wasDerivedFrom Time_series?oldid=604480063.
- Time_series depiction Random-data-plus-trend-r2.png.
- Time_series isPrimaryTopicOf Time_series.
