"In mathematics, a time series is a series of data points indexed (or listed or graphed) in time order."
The study of data sets that represent measurements taken over time, and the use of statistical models to analyze patterns in the data.
"Examples of time series are heights of ocean tides, counts of sunspots, and the daily closing value of the Dow Jones Industrial Average."
"Time series are used in statistics, signal processing, pattern recognition, econometrics, mathematical finance, weather forecasting, earthquake prediction, electroencephalography, control engineering, astronomy, communications engineering, and largely in any domain of applied science and engineering which involves temporal measurements."
"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 relationships between one or more different time series, this type of analysis is not usually called 'time series analysis', which refers in particular to relationships between different points in time within a single series."
"Time series analysis is distinct from cross-sectional studies, in which there is no natural ordering of the observations."
"Time series analysis is also distinct from spatial data analysis where the observations typically relate to geographical locations."
"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."
"Values for a given period will be expressed as deriving in some way from past values, rather than from future values."
"Time series analysis can be applied to real-valued, continuous data, discrete numeric data, or discrete symbolic data."
"Most commonly, a time series is a sequence taken at successive equally spaced points in time. Thus it is a sequence of discrete-time data."
"A time series is very frequently plotted via a run chart (which is a temporal line chart)."
"Time series are used in statistics, signal processing, pattern recognition, econometrics, mathematical finance, weather forecasting, earthquake prediction, electroencephalography, control engineering, astronomy, communications engineering, and largely in any domain of applied science and engineering which involves temporal measurements."
"The use of a model to predict future values based on previously observed values."
"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 comprises methods for analyzing time series data in order to extract meaningful statistics."
"Time series data have a natural temporal ordering. This makes time series analysis distinct from cross-sectional studies."
"Time series are used in...econometrics, mathematical finance..."
"Time series are used...in any domain of applied science and engineering which involves temporal measurements."