Category:Time series analysis

F

• ► Frequency domain analysis‎ (16 P)

L

• ► Long-memory processes‎ (5 P)

N

• ► Nonlinear time series analysis‎ (8 P)

R

• ► Regression with time series structure‎ (6 P)

S

• ► Signal estimation‎ (8 P)

T

• ► Time domain analysis‎ (8 P)

T cont.

• ► Time series models‎ (15 P)
• ► Time series software‎ (1 C, 13 P)
• ► Time–frequency analysis‎ (1 C, 25 P)

• Time series

A

• Analysis of rhythmic variance
• Anomaly time series
• Approximate entropy
• Augmented Dickey–Fuller test
• Autocorrelation
• Autocorrelation technique
• Autocovariance
• Autoregressive conditional duration
• Autoregressive conditional heteroskedasticity
• Autoregressive–moving-average model

B

• Bayesian VAR
• Berlin procedure
• Bispectrum
• Box–Jenkins
• BV4.1 (software)

C

• CARIACO Ocean Time Series Program
• Chow test
• Cochrane–Orcutt estimation
• Cointegration
• Correlation function
• Correlogram
• Cyclostationary process

D

• Decomposition of time series
• Detrended fluctuation analysis
• Dickey–Fuller test
• Discrete time
• Durbin–Watson statistic
• Dynamic time warping

E

• Empirical orthogonal functions
• Epps effect
• Exponential smoothing

F

• Forecasting

F cont.

• Fourier analysis
• Frequency domain

G

• Gaussian noise
• General matrix notation of a VAR(p)
• Gompertz function
• Granger causality
• Growth curve

H

• Heart rate variability
• Heteroscedasticity
• Hodrick–Prescott filter

I

• Independent component analysis
• Innovations vector

J

• Johansen test

K

• Kernel (statistics)
• Kolmogorov–Zurbenko filter
• KPSS test

L

• Lag windowing
• Linear prediction
• Ljung–Box test
• Long-range dependency

M

• Maximum entropy spectral estimation
• Mean absolute error
• Mean absolute scaled error
• Mixed data sampling
• Moving average
• Moving average representation
• Moving-average crossover

O

• Order of integration

P

• Partial correlation
• Phase dispersion minimization
• Political forecasting
• Portmanteau test

R

• Random modulation

R cont.

• Recursive least squares filter

S

• Seasonal adjustment
• Seasonal subseries plot
• Seasonality
• Secular variation
• Self-similar process
• Serial dependence
• SigSpec
• Singular spectrum analysis
• Smoothing
• Spike-triggered covariance
• Stationary distribution
• Stationary sequence
• Stationary subspace analysis
• Statistical signal processing
• Step detection
• Stochastic drift
• Structural break

T

• Threshold model
• Time reversibility
• Tracking signal
• Trend analysis
• Trend estimation
• Trend stationary
• Trispectrum

U

• Unevenly spaced time series
• Unit root
• Unit root test

V

• Vector autoregression

W

• White noise
• Wiener filter
• Window function
• Wold's theorem