A set of data points, each of which represents the value of the same variable at different times, normally at uniform intervals
Any series of observations of a physical variable that is sampled at changing time intervals A regular sampling interval is usually presumed although not required
Discrete-time sequence of observations of a random process The type of time series of interest in the GARCH Toolbox is typically a series of returns, or relative changes of some underlying price series
A time series graph shows the growth of a sequence as a function of time The word "series" in this definition has no connection to the term "inifinite series " Yet another example of confusing mathematical vocabulary, I'm afraid
A set of figures showing the magnitude of a given variable at regular points in time
study collects data at distinct, regular and equal intervals (i e every 6 seconds, minutes, months or years ) This is a good tool to keep track of trends and even predict future trends once enough data is collected and a pattern might be discovered For instance, I might want to know how many students enroll in kindergarten each year With this information, I could calculate my spending on personnel and supplies, as well as predict future growth in order to know when I will have to build a new school Here, time is the independent variable, and the number of children entering kindergarten is the dependent variable
a sequence of data assigned specific moments in time It is the history of the object of interest
Observations of a variable made over time Many economic studies such as International Financial Statistics, and Citibase are time series data files Time series, of a sort, can also be constructed from a cross sectional study if the same questions are asked more than once over time See also longitudinal study
A sample of data values collected at equally spaced points in time Possible autocorrelation between adjacent values makes it necessary to use special statistical methods to analyze this type of data
(Ticaret) A data distribution that represents the consecutive changes in values over a period of time
A series of measurements taken at consecutive points in time Data mining products which handle time series incorporate time-related operators such as moving average (Also see windowing )
A set of data consisting of a time-stamp and a value In general, the time-stamps are equally spaced (e g , daily, monthly, yearly data)
Problems (usually regression) where the objective is to predict later values of a variable or variables from earlier values
The values of a variable generated successively in time A continuous barograph trace is an example of a continuous time series , whereas a sequence of hourly pressures is an example of a discrete time series Graphically, a time series is usually plotted with time as the abscissa and the values of the function as the ordinate