Structural breaks in time series
Akaike’s Information Criterion
Akaike’s Information Criterion (AIC)
arguments, optional subprogram
automatic workspace allocation
autoregressive and moving average parameters
Autoregressive Integrated Moving Average
Autoregressive Moving Average Model
balanced complete experimental design
balanced incomplete block design
balanced n-way classification model
basic uniform (0, 1) generators
beta probability distribution function
binomial distribution function
biserial correlation coefficient
biserial correlation coefficients
bivariate normal correlation coefficient
bivariate normal distribution function
Box-Cox (power) transformation
canonical correlation analysis
centered and padded realization
chi-squared distribution function
chi-squared goodness-of-fit test
chi-squared probability density
codiagonal band Hermitian storage mode
codiagonal band symmetric storage mode
constrained non-linear optimization
cospectrum and quadrature spectrum
cross-spectral density function
cumulative distribution function
cumulative distribution function (CDF)
cumulative distribution functions
discrete uniform cumulative probability
discrete uniform cumulative probability distribution
discrete uniform probability density
discrete uniform random variable
dissimilarity/similarity matrices
exponential cumulative probability distribution
exponential probability density
extreme value cumulative probability distribution
extreme value probability density
factor score coefficient matrix
Fisher’s exact test probability
Fisher’s linear discriminant analysis method
fourth-degree polynomial criterion
general continuous cumulative distribution function
general continuous distribution
generalized feedback shift register method
generalized orthomax criterion
geometric cumulative probability distribution
Goodman and Kruskal coefficient
Huber’s conjugate-gradient algorithm
hypergeometric distribution function
hypergeometric probability function
inverse of the exponential cumulative probability
inverse of the geometric cumulative probability distribution
inverse of the lognormal cumulative probability distribution
inverse of the Rayleigh cumulative probability distribution
inverse of the uniform cumulative probability distribution
inverse of the Weibull cumulative probability distribution
iterative generalized least squares
iterative proportional-fitting algorithm
Kendall coefficient of concordance
Kendall’s rank correlation coefficient
Kolmogorov-Smirnov goodness of fit
least absolute values criterion
linear discriminant function analysis
Locally stationary time series
lognormal cumulative probability distribution
Mardia’s multivariate measures
Minimum Description Length (MDL)
multichannel cross-correlation function
multidimensional scaling model
multidimensional scaling models
multiple linear regression model
multiplicative congruential generator
Multivariate Final Prediction Error
multivariate general linear hypothesis
multivariate general linear model
multivariate normal distribution
nearest neighbor discrimination
negative binomial distribution
noncentral chi-squared function
nonhomogeneous Poisson process
nonnormalized spectral density
nonparametric hazard rate estimation
nonparametric probability density function estimation
normalized product-moment matrices
orthogonal central composite design
orthogonal Procrustes rotation
partial association statistics
partial least squares regression
pooled variance-covariance matrix
pseudorandom number generators
pseudorandom orthogonal matrix
pseudorandom sample of indices
quadratic discriminant function analysis
randomized complete block design
Rayleigh cumulative probability distribution
second order response surface model
simultaneous confidence intervals
standard exponential distribution
standard normal (Gaussian) distribution function
standardized factor residual correlation matrix
Student’s t distribution function
Student’s t probability density
Student-Newman-Keuls multiple comparison test
tetrachoric correlation coefficient
trends in dispersion and location
Turnbull’s generalized Kaplan-Meier estimates
uniform cumulative probability distribution
Weibull cumulative probability distribution