In statistics,<unk><unk><unk>  <unk> s, sometimes called Box-Jenkins models after the iterative Box-Jenkins methodology usually used to estimate them, are typically applied to time series data.
Given a time series of data Xt, the<unk>  is a tool for understanding and, perhaps, predicting future values in this series.  The model consists of two parts, an<unk>  (AR) part and a<unk><unk>  (MA) part.  The model is usually then referred to as the ARMA(p,q) model where p is the order of the<unk>  part and q is the order of the<unk><unk>  part (as defined below).
Autoregressive moving average model
Linear transform model
Ancillary statistic
Linear regression
Bayesian linear regression
Proportional hazards models
Beta-binomial model
Receiver operating characteristic