# On a class of linear models.

Trabajos de Estadística e Investigación Operativa (1985)

- Volume: 36, Issue: 3, page 281-290
- ISSN: 0041-0241

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topTheodorescu, Radu. "On a class of linear models.." Trabajos de Estadística e Investigación Operativa 36.3 (1985): 281-290. <http://eudml.org/doc/40725>.

@article{Theodorescu1985,

abstract = {This paper is concerned with classification criteria, asymptotic behaviour and stationarity of a non-Markovian model with linear transition rule, called a linear OM-chain. This problems are solved by making use of the structure of the stochastic matrix appearing in the definition of such a model. The model studied includes as special cases the Markovian model as well as the linear learning model, and has applications in psychological and biological research, in control theory, and in adaptation theory.},

author = {Theodorescu, Radu},

journal = {Trabajos de Estadística e Investigación Operativa},

keywords = {Procesos estocásticos; Modelo lineal; Cadenas de Markov; Teoría del aprendizaje; discrete parameter stochastic processes; random systems with complete connections; Markov chains; recurrence; transience; classification criteria; asymptotic behaviour; stationarity; non-Markovian model; linear transition rule; linear OM-chain; linear learning model},

language = {eng},

number = {3},

pages = {281-290},

title = {On a class of linear models.},

url = {http://eudml.org/doc/40725},

volume = {36},

year = {1985},

}

TY - JOUR

AU - Theodorescu, Radu

TI - On a class of linear models.

JO - Trabajos de Estadística e Investigación Operativa

PY - 1985

VL - 36

IS - 3

SP - 281

EP - 290

AB - This paper is concerned with classification criteria, asymptotic behaviour and stationarity of a non-Markovian model with linear transition rule, called a linear OM-chain. This problems are solved by making use of the structure of the stochastic matrix appearing in the definition of such a model. The model studied includes as special cases the Markovian model as well as the linear learning model, and has applications in psychological and biological research, in control theory, and in adaptation theory.

LA - eng

KW - Procesos estocásticos; Modelo lineal; Cadenas de Markov; Teoría del aprendizaje; discrete parameter stochastic processes; random systems with complete connections; Markov chains; recurrence; transience; classification criteria; asymptotic behaviour; stationarity; non-Markovian model; linear transition rule; linear OM-chain; linear learning model

UR - http://eudml.org/doc/40725

ER -

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