Decision analysis via granulation based on general binary relation.
Decisión equivariante óptima en poblaciones con parámetro de localización y escala.
En este trabajo se trata el problema de decisión equivariante en poblaciones dependientes de un parámetro bidimensional del tipo de localización y escala, obteniendo la información a partir de un estadístico ordenado. Tras caracterizar las funciones de decisión equivariantes y encontrar la expresión para la función de decisión óptima, se ven condiciones, sobre la función de pérdida y distribución muestral, que sean suficientes para garantizar que la función de decisión equivariante óptima sea minimax...
Decision making in an incompletely known stochastic system, II
Decision making in an incompletely known stochastic system, I
Decision Theory Based on Non-Additive Measures
Decision Theory for Continuous Observations: Minimax Solutions.
Decision-making for long memory data in technical-economic design, fractals and decision area bubbles
Economic and management theories are very often based in their applications on the perception of homogeneity of the application space. The purpose of this article is to query such a conviction and indicate new possible directions of discipline development. The article deals with symbiosis of process and his steering model as a process of management. It is possible that in relative near future it will be necessary to accept approaches and changes in interpretations of decision-making. Applications...
Design Considerations for Neyman-Pearson and Wald Hypothesis Testing.
Detecting abrupt changes in random fields
This paper is devoted to the study of some asymptotic properties of a -estimator in a framework of detection of abrupt changes in random field’s distribution. This class of problems includes e.g. recovery of sets. It involves various techniques, including -estimation method, concentration inequalities, maximal inequalities for dependent random variables and -mixing. Penalization of the criterion function when the size of the true model is unknown is performed. All the results apply under mild,...
Detecting abrupt changes in random fields
This paper is devoted to the study of some asymptotic properties of a M-estimator in a framework of detection of abrupt changes in random field's distribution. This class of problems includes e.g. recovery of sets. It involves various techniques, including M-estimation method, concentration inequalities, maximal inequalities for dependent random variables and ϕ-mixing. Penalization of the criterion function when the size of the true model is unknown is performed. All the results apply under...
Determinación de reglas de decisión mediante redes de neuronas artificiales
Deviations from total information and from total ignorance as measures of information
Discontinuity, decision and conflict.
The motivation for this paper arises out of the authors experiences in modelling real decision makers where the decisions show not only a continuous response to a continuously changing environment but also sudden or discontinuous changes. The theoretical basis involves a parametric characterisation of the environment, a decision makers perception of it in terms of a twice differentiable Distribution Function and a bounded Loss Function. Under a specified minimizing dynamic, the resultant Expected...
Diseño muestral óptimo en el caso de no respuesta.
Se propone un modelo predictivo para analizar situaciones de no respuesta. El modelo es, en cierto sentido, secuencial y se describe desde la teoría de la decisión bayesiana. El modelo permite considerar opiniones y experiencia previa sobre la proporción de unidades que no responden al primer contacto, diferenciar y relacionar entre unidades que responden y unidades que no responden, costo de obtener información de las unidades que no respondieron, etc. Se analizan las decisiones referentes a seleccionar...