Linked from

The 23 pages that link to Time series, each with the reason it gives.

• Stochastic processCompared with: Observed time series are data; a stochastic process is a probabilistic model.

• SequenceRelated: It applies the sequence structure to measurements ordered in time.

• Data visualizationRelated: Time-based displays reveal trends, cycles, and abrupt changes in observations.

• SeasonalityNarrower topic: Seasonality is one kind of recurring structure found in time series.

• Biodiversity monitoringRelated: Consistent time series expose trends, cycles, and abrupt changes.

• Climate variabilityRelated: Climate observations form time series from which variability can be estimated.

• Ecological monitoringRelated: Repeated observations reveal trends, cycles, and abrupt changes in ecological conditions.

• EconometricsRelated: Economic forecasts often rely on time-series models that account for trends and cycles.

• Excess mortalityRelated: Historical death counts can reveal baseline patterns and seasonal variation.

• Econometric modelRelated: Economic models often use ordered observations whose temporal dependence must be represented.

• AutocorrelationNarrower topic: Autocorrelation measures dependence between observations at different positions in a time series.

• Line chartRelated: Time is a common ordered horizontal variable for line charts.

• Mathematical statisticsRelated: Dependence between observations changes the sampling theory behind estimation and testing.

• Phase portraitCompared with: Unlike a portrait, a time series shows values against time for selected trajectories.

• Small multiplesRelated: One panel per series makes temporal patterns easier to compare.

• Wesley Clair MitchellRelated: Economic time series supplied the historical records Mitchell compared across cycles.

• Ragnar FrischRelated: Frisch developed methods for separating economic fluctuations across different time scales.

• William PlayfairRelated: Many of Playfair’s line graphs organized economic measurements as changes over time.

• Christopher A. SimsNarrower topic: His empirical work models the joint evolution of macroeconomic time series.

• Clive GrangerNarrower topic: Granger’s econometric methods were developed for studying relationships among observations ordered through time.

• Robert F. EngleNarrower topic: Engle developed methods for modeling time-varying variance in economic time series.

• Data setBroader topic: Time-indexed data sets support analysis of change and temporal patterns.

• Modifiable temporal unit problemNarrower topic: The problem arises when such sequences are grouped into analytical time units.