time series

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Time Series

A comparison of a variable to itself over time. One of the most common time series, especially in technical analysis, is a comparison of prices over time. For example, one may compile a time series of a security over the course of a week or a month or a year, and then use it in the determination of future price movements.

time series

A set of variables with values related to the respective times the variables are measured. Thus, a weekly record of a stock's price throughout a period of years is a time series. Time series are often used to project future values by observing how the value of a variable has changed in the past.

time series

any statistical information recorded over successive time periods. See TIME-SERIES ANALYSIS.
References in periodicals archive ?
Injuries and deaths due to RTCs in Karachi, based on RTIRPC data have been extensively reported in several descriptive and analytical epidemiological studies.2-9 However, this is the first study in Pakistan on time series analysis of the number of injured and fatalities due to RTCs.
Ikeda, "Examination of demand forecasting by time series analysis for auto parts remanufacturing," Journal of Remanufacturing, vol.
Also time series analysis for identifying the noise can be done on points determined by using very long baseline interferometry - VLBI - (Nistor and Buda, 2015b) or precise point positioning (Nistor and Buda, 2015a).
(34.) McCleary R and Hay R, Applied time series analysis for the social sciences, (SAGE Publications; Beverly Hills), 1980.
Nonlinear time series analysis does a decent job of forecasting next year's population, and perhaps the one after that, but beyond two years, says NOAA's MacCall, "it's worthless." This is an especially serious limitation for managing long-lived species like rockfish, whose populations change over decades, not years.
Our time series analysis began by regrouping the data, splitting the distance into five sections and business into two kinds.
Time series analysis can be used more easily for forecasting purposes because historical sequences of observations upon study variables are readily available from published sources.
In particular, the results from recent time series analysis based on Russian data from 1980 to 2005 suggest that 1 litre increase in overall alcohol sale would result in a 4.6% increase in the accident mortality rate, while a 1 litre increase in vodka sales is expected to increase the number of deaths from accidents and injuries by 11% (Razvodovsky, 2010).
High-speed spectral data acquisition with advanced features, such as time series analysis and episodic data capture with rapid sample logging, are standard.
Coverage of several mainstream modeling approaches in time series is combined with recent developments in time series analysis in this text for a graduate course on Bayesian time series modeling and analysis.
Time series analysis is a tool for distinguishing time and intervention effects, and has been used in substance abuse treatment to study, for example, methadone maintenance and alcoholism treatments (Holder & Parker 1992; Brecht, Hser & Anglin 1990-91), drunk driver legislation (Mann et al.