Definitions for time series
time se·ries

Princeton's WordNetRate this definition:0.0 / 0 votes

1. time seriesnoun

   a series of values of a variable at successive times

WiktionaryRate this definition:0.0 / 0 votes

1. time seriesnoun

   A set of data points, each of which represents the value of the same variable at different times, normally at uniform intervals

WikipediaRate this definition:0.0 / 0 votes

1. Time series

   In mathematics, a time series is a series of data points indexed (or listed or graphed) in time order. 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. Examples of time series are heights of ocean tides, counts of sunspots, and the daily closing value of the Dow Jones Industrial Average. 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. 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 data have a natural temporal ordering. This makes time series analysis distinct from cross-sectional studies, 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).

ChatGPTRate this definition:0.0 / 0 votes

1. time series

   A time series is a sequence of numerical data points collected or recorded at successive periods of time, often with equal intervals. The data points could represent anything that varies over time, such as temperatures over the course of a year, stock prices every day, or a company's sales every quarter. Time series analysis is used to understand patterns, trends, and forecasting future data points.

WikidataRate this definition:5.0 / 1 vote

1. Time series

   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 index 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 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". 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. 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. 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

Matched Categories

1. • Statistic
   • Statistics

How to pronounce time series?

1. Alex

   US English

   David

   US English

   Mark

   US English

   Daniel

   British

   Libby

   British

   Mia

   British

   Karen

   Australian

   Hayley

   Australian

   Natasha

   Australian

   Veena

   Indian

   Priya

   Indian

   Neerja

   Indian

   Zira

   US English

   Oliver

   British

   Wendy

   British

   Fred

   US English

   Tessa

   South African

How to say time series in sign language?

Numerology

1. Chaldean Numerology

   The numerical value of time series in Chaldean Numerology is: 6

2. Pythagorean Numerology

   The numerical value of time series in Pythagorean Numerology is: 5

Examples of time series in a Sentence

1. Mark Parrington:

   If I look at the time series, we see sort of equivalent levels of intensity, but for not for three weeks, you know, I think the longest one prior was maybe a couple of weeks or 10 days or something like that, so much more isolate.

2. Lion Shahab:

   There are statistical techniques available to do this, for instance using time-series analysis, which attempt to link changes in a putative risk factor with changes in the outcome of interest over time. This was not done here, second, even if such a link were found, correlation does not imply causation.

3. Lion Shahab:

   Firstly, this paper does not attempt to link the rise in mobile phone use with a rise in brain tumor incidence directly, there are statistical techniques available to do this, for instance using time-series analysis, which attempt to link changes in a putative risk factor with changes in the outcome of interest over time. This was not done here.

4. Jeremy Lawson:

   Our response has been to spend time developing an Indian Activity Index, which takes a range of time series data that in the past were strongly correlated with real GDP growth and extract the common signal from them.

References

1. ^ Princeton's WordNet
   http://wordnetweb.princeton.edu/perl/webwn?s=time series
2. ^ Wiktionary
   https://en.wiktionary.org/wiki/Time_Series
3. ^ Wikipedia
   https://en.wikipedia.org/wiki/Time_Series
4. ^ ChatGPT
   https://chat.openai.com
5. ^ Wikidata
   https://www.wikidata.org/w/index.php?search=time series