Skip to main content\(\newcommand{\N}{\mathbb N}
\newcommand{\Z}{\mathbb Z}
\newcommand{\Q}{\mathbb Q}
\newcommand{\R}{\mathbb R}
\newcommand{\lt}{<}
\newcommand{\gt}{>}
\newcommand{\amp}{&}
\definecolor{fillinmathshade}{gray}{0.9}
\newcommand{\fillinmath}[1]{\mathchoice{\colorbox{fillinmathshade}{$\displaystyle \phantom{\,#1\,}$}}{\colorbox{fillinmathshade}{$\textstyle \phantom{\,#1\,}$}}{\colorbox{fillinmathshade}{$\scriptstyle \phantom{\,#1\,}$}}{\colorbox{fillinmathshade}{$\scriptscriptstyle\phantom{\,#1\,}$}}}
\)
Section 12.10 Glossary
- time series
-
A dataset where each value is associated with a specific time, often representing measurements taken at regular intervals.
- seasonal decomposition
-
A method of splitting a time series into a long-term trend, a repeating seasonal component, and a residual component.
- training series
-
Part of a time series used to fit a model.
- test series
-
Part of a time series used to check the accuracy of predictions generated by a model.
- retrodiction
-
A prediction for a value observed in the past, often used to test or validate a model.
- window
-
A sequence of consecutive values in a time series, used to compute a moving average.
- moving average
-
A time series computed by averaging values in overlapping windows to smooth fluctuations.
- serial correlation
-
The correlation between successive elements of a time series.
- autocorrelation
-
A correlation between a time series and a shifted or lagged version of itself.
- lag
-
The size of the shift in a serial correlation or autocorrelation.