作者: Peter A. W. Lewis
DOI:
关键词: Range (statistics) 、 Parametric statistics 、 Marginal distribution 、 Stochastic process 、 Combinatorics 、 Probability distribution 、 Exponential distribution 、 Phase-type distribution 、 Mathematics 、 Discrete-time stochastic process 、 Applied mathematics
摘要: Abstract : Three models for positive-valued and discrete-valued stationary time series are discussed. All have the property that a range of specified marginal distributions same correlation structure as usual linear, autoregressive-moving average (ARMA) model. The differ in which can be accommodated simplicity flexibility each Specifically EARMA-type processes extended from exponential distribution to rather narrow continuous distributions; DARMA-type defined usefully any discrete simple flexible. Finally marginally controlled semiMarkov generated process or is therefore very However, model suffers some complexity parametric obscurity. (Author)