Linear models for responses measured on a continuous scale.
作者： Norman H. Anderson
DOI: 10.1016/0022-2496(64)90019-7
关键词: Autoregressive model 、 Continuous scale 、 Applied mathematics 、 Linear model 、 Mathematical optimization 、 Mathematics 、 Stimulus (physiology) 、 Linear map
摘要: Abstract A first-order linear model for responses measured on a continuous scale is considered. Expressions are derived stimulus dependencies, autocorrelations, and variances, thus giving unified treatment of previous work. The dependencies shown to remain essentially unchanged certain cases nonconstant parameters. analysis contingent schedules illustrated. higher-order also discussed briefly. It that the can provide parameter-free tests whole class models under consideration. Relations these autoregressive models, discreteresponse, operator pointed out.
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