Time series. 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 …

What is a ‘Time Series’. A time series is a sequence of numerical data points in successive order. In investing, a time series tracks the movement of the chosen data points, such as a security’s price, over a specified period of time with data points recorded at regular intervals. There is no minimum or maximum amount of time that must be included,

Time Series | Definition of Time Series by Merriam-Webster

Definition of time series. : a set of data collected sequentially usually at fixed intervals of time.

What are time series? definition and meaning

Definition of time series: Values taken by a variable over time (such as daily sales revenue, weekly orders, monthly overheads, yearly income) and tabulated or plotted as …

Timeplot / Time Series: Definition, Examples & Analysis

A timeplot (sometimes called a time series graph) displays values against time. They are similar to x-y graphs, but while an x-y graph can plot a variety of “x” variables (for example, height, weight, age), timeplots can only display time on the x-axis.

Time series – definition of time series by The Free Dictionary

Define time series. time series synonyms, time series pronunciation, time series translation, English dictionary definition of time series. n statistics a series of values of a variable taken in successive periods of time Noun 1. time series – a series of values of a variable at successive times

What is Time Series analysis? – Research Optimus

History and Definition. Time Series is a sequence of well-defined data points measured at consistent time intervals over a period of time. Data collected on an ad-hoc basis or irregularly does not form a time …

time series definition | English definition dictionary

n (Statistics) a series of values of a variable taken in successive periods of time. time. n. 1. a the continuous passage of existence in which events pass from a state of potentiality in the future, through the present, to a state of finality in the past.

1.1 Overview of Time Series Characteristics | STAT 510

A univariate time series is a sequence of measurements of the same variable collected over time. Most often, the measurements are made at regular time intervals. One difference from standard linear regression is that the data are not necessarily independent and not necessarily identically distributed.

6.4.1. Definitions, Applications and Techniques

Definition of Time Series: An ordered sequence of values of a variable at equally spaced time intervals. Time series occur frequently when looking at industrial data. Applications: The usage of time series models is twofold: Obtain an understanding of the underlying forces and …

What Is Time Series Forecasting? – Machine Learning Mastery

Time series forecasting is an important area of machine learning that is often neglected. It is important because there are so many prediction problems that involve a time component. These problems are neglected because it is this time component that makes time series problems more difficult to

Stationarity and differencing of time series data

Stationarity and differencing. Statistical stationarity First difference (period-to-period change) Stationarizing a time series through differencing (where needed) is an important part of the process of fitting an ARIMA model, as discussed in the ARIMA pages of these notes.