time series
Noun 1. a series of values of a variable at successive times (hypernym) statistic (classification) statistics | ||||
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Time-series definition was found in categories: Science & Technology(2) Business & Finance(1) Language, Idioms & Slang(1) Encyclopedia(1)
Time-series Definition from Science & Technology Dictionaries & Glossaries
| Bureau of Labor Statistics Glossary |
Time/Index series
An index series is simply a way of expressing, in percentage terms, the change in some variable from a given point in time to another point in time. For example, let's say that output increased by 10 percent from an initial year (1987) to a subsequent year (1988). The index for our arbitrarily chosen base year of 1987 would be 100.0 while the index for 1988 would be 110.0. Conversely, if output had declined in 1988 by 10 percent, the 1988 index value would be 90.0
An index series is simply a way of expressing, in percentage terms, the change in some variable from a given point in time to another point in time. For example, let's say that output increased by 10 percent from an initial year (1987) to a subsequent year (1988). The index for our arbitrarily chosen base year of 1987 would be 100.0 while the index for 1988 would be 110.0. Conversely, if output had declined in 1988 by 10 percent, the 1988 index value would be 90.0
| Electronic Statistics Textbook |
Time series
A Time series is a sequence of measurements, typically taken at successive points in time. Time series analysis includes a broad spectrum of exploratory and hypothesis testing methods that have two main goals: (a) identifying the nature of the phenomenon represented by the sequence of observations, and (b) forecasting (predicting future values of the time series variable). Both of these goals require that the pattern of observed time series data is identified and more or less formally described. Once the pattern is established, we can interpret and integrate it with other data (i.e., use it in our theory of the investigated phenomenon, e.g., seasonal commodity prices). Regardless of the depth of our understanding and the validity of our interpretation (theory) of the phenomenon, we can extrapolate the identified pattern to predict future events.
For more information, see the Time Series chapter.
A Time series is a sequence of measurements, typically taken at successive points in time. Time series analysis includes a broad spectrum of exploratory and hypothesis testing methods that have two main goals: (a) identifying the nature of the phenomenon represented by the sequence of observations, and (b) forecasting (predicting future values of the time series variable). Both of these goals require that the pattern of observed time series data is identified and more or less formally described. Once the pattern is established, we can interpret and integrate it with other data (i.e., use it in our theory of the investigated phenomenon, e.g., seasonal commodity prices). Regardless of the depth of our understanding and the validity of our interpretation (theory) of the phenomenon, we can extrapolate the identified pattern to predict future events.
For more information, see the Time Series chapter.
Time-series Definition from Business & Finance Dictionaries & Glossaries
| Sean_Woo's Finance,GIS & Real Estate Glossary |
time series
[statistics] analysis technique on the data collected over a period of time
[statistics] analysis technique on the data collected over a period of time
Time-series Definition from Language, Idioms & Slang Dictionaries & Glossaries
| hEnglish - advanced version |
time series
time series
n : a series of values of a variable at successive times
time series
n : a series of values of a variable at successive times
Time-series Definition from Encyclopedia Dictionaries & Glossaries
| Wikipedia English - The Free Encyclopedia |
Time series
In statistics, signal processing, and econometrics, a time series is a sequence of data points, measured typically at successive times, spaced at (often uniform) time intervals. Time series analysis comprises methods that attempt to understand such time series, often either to understand the underlying theory of the data points (where did they come from? what generated them?), or to make forecasts (predictions). Time series prediction is the use of a model to predict future events based on known past events: to predict future data points before they are measured. The standard example is the opening price of a share of stock based on its past performance.
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