
Time series analysis
 Fast Fourier Transforms
Metasite with annotated links to libraries and source
codes,benchmarks, and didactic material on various forms of the Fast
Fourier Transform. From FFTW. These include:
 FFTW
Subroutine library in C for efficient computation of the
discrete
Fourier transform in one or more dimension for datasets of arbitrary
size. Winner of Wilkinson Prize for Numerical Software. From
Matteo Frigo and Steven G. Johnson of MIT.
 FXT library
Algorithms fast Fourier and other transforms, sorting and
searching, permutations, and more with associated text book. By Jorg
Arndt (Bayreuth).
 Variable star software
A variety of programs for amateur astronomers from the American
Association of Variable Star Observers including: averaging, polynomial
fitting, Fourier analysis, residual analysis (TS); iterative
prewhitening (CLEANest); epoch folding plots (PhasPlot); and
nonstationary periodicities (WWZ).
 Finding
periodicities with splines
Nonparametric method for locating periodicities in unevenly
spaced univariate data based on efficient leastsquares fitting of
cubic Bsplines. Developed for astronomy by C. Akerlof at University of
Michigan
 Standards Time Series and
Regresion Package (STARPAC)
Library of about 150 Fortran subroutines for time series analysis
and nonlinear regression, developed at the National Institute for
Standards and Technology. Includes digital
filtering, complex demodulation, univariate and bivariate correlation
and spectrum analysis, ARMA and ARIMA models. Oldfashioned
interface. Distributed by the National Center for Atmospheric
Research.
 TimesLab
Maximumlikelihood autoregressive analysis including
autocorrelation functions, ARMA model fitting, windowning and
filtering, noise and model simulations, spectral density, and
BoxJenkins analysis. Accompanies volume TIMESLAB:
A Time Series Analysis Laboratory by H. J. Newton (1988).
Distributed by Statlib.
 TISEAN
Nonlinear time series analysis package for chaotic systems.
Includes linear tools (autoregressive models, power spectrum, filters),
visualization tools, embedding and Poincare sections, nonlinear
prediction and local polynomial models, dimensionality adn entropy
estimation, Lyapunov exponents, simulations, and crosscorrelation of
multivariate time series. From TISEAN Project at MPI Dresden and
University of Wuppertal, Germany.
 Amara's
Wavelet page
Metasite with extensive description, software, bibliography, and
Web sites for wavelet methods. Provides linksto nearly
wavelet software packages and toolboxes (many are commercial and not
public domain). Environments include UNIX,
XWindows, Windows, Macintosh, C, C++, Matlab, Maple, PVWAVE, Khoros,
Mathematica, S+, IDL and MIDAS. See also a similar site at the University of
Salzburg.
 MultiTaper Spectral
Analysis Methods (MTM)
Spectral analysis with tapering to minimize spectral leakage and
spurious correlations.
 EasyReg
Econometrics package for Windows including: variable
transformations, kernel density estimation, time series analysis
(crosscorrelation, stationarity tests, ARIMA & GARCH modeling),
linear regression models (Poisson regression, Tobit, 2stage least
squares, usersupplied nonlinear), and more by H. Bierens (Penn State).
 SemiNonParametric
Package for multivariate nonparametric time series analysis by
maximum likelihood polynomial expansion permitting uneven weighting,
nonnormality and nonlinearity. By A. R. Gallant and G. E. Tauchen, and
distributed by Statlib.
 XQZ
Dynamic XWindow graphical system for exploratory time series
analysis including autoregressive models and Fourier analysis.
Distributed by Statlib.
 RQA software
Software for Recurrence Quantification Analysis of complex (e.g.
chaotic, nonlinear and nonstationary) systems. By. C. L. Webber of the
Department of Physiology at Loyola University Chicago.
 Singular Spectrum
Analysis  MultiTaper Method (SSAMTM)
Toolkit of UNIX utilities to analyze short, noisy time series
testing for trend and oscillating components, and three kinds of power
spectra (windowed correlogram, multitaper method, maximumentropy
method). From the Department of Atmospheric & Oceanic
Sciences at University of California Los Angeles.
 Maximum
likelihood ARIMA model
Calculates the maximum likelihood estimators of the parameters of
a fractionallydifferences ARIMA(p,d,q) model with covarances and
correlation matrices and standard errors. By C. Fraley of
University of Washington.
 Timefrequency
analysis
Package for optimal and adaptive kernel timefrequency
representations for long signals with changing timefrequency
characteristics. It adapts the kernel over time for improved
performance. By R. Baraniuk (DSP Group, Rice University) and
colleagues.
 ARMA model
Maximum likelihood estimation of autoregressivemoving average
model by Kalman filtering. Applied Statisistics algorithm #154
distributed by Statlib.
 Goodnessoffit test
for ARMA model
Applied Statistics algorithm #194 distributed by Statlib.
 Change point
for Poisson process
Continuoustime estimation of a changepoint in a Poisson
process. By. R. W. West and R. T. Ogden of University of South
Carolina.
 Restricted maximum
likelihood estimation for unevenly spaced data
Parameter estimation for unevenly spaced univariate time series
using a firstorder process with white noise. By S. P. Smith of
EA Engineering and distributed by Statlib.
 CUSUM charts
Probability and distribution functions of run lengths in a
cumulative summation chart. By F. F. Gan and distributed by Statlib.
