Real-time parameter estimation and output prediction for ARMA-type system models
Recent Contributions to Censored Regression Models.
Recherche de plans d'expérience adaptés à des hypothèses a priori dans certains cas particuliers
Recursive parameter estimation of regression model when the interval of possible values is given
Redescending M-estimators in regression analysis, cluster analysis and image analysis
We give a review on the properties and applications of M-estimators with redescending score function. For regression analysis, some of these redescending M-estimators can attain the maximum breakdown point which is possible in this setup. Moreover, some of them are the solutions of the problem of maximizing the efficiency under bounded influence function when the regression coefficient and the scale parameter are estimated simultaneously. Hence redescending M-estimators satisfy several outlier robustness...
Reduced rank quasi-symmetry and quasi-skew symmetry : a generalized bi-linear model approach
Reduction of the dimension in the linear model with stochastic regressors
Reduction Problems in Comparison of Linear Models.
Reference points based recursive approximation
The paper studies polynomial approximation models with a new type of constraints that enable to get estimates with significant properties. Recently we enhanced a representation of polynomials based on three reference points. Here we propose a two-part cubic smoothing scheme that leverages this representation. The presence of these points in the model has several consequences. The most important one is the fact that by appropriate location of the reference points the resulting approximant of two...
Reference points based transformation and approximation
Interpolating and approximating polynomials have been living separately more than two centuries. Our aim is to propose a general parametric regression model that incorporates both interpolation and approximation. The paper introduces first a new -point transformation that yields a function with a simpler geometrical structure than the original function. It uses reference points and decreases the polynomial degree by . Then a general representation of polynomials is proposed based on reference...
Reflexiones sobre la estrategia de medida de los cambios en probabilidad en modelos de elección binarios.
Este trabajo se centra en la evaluación de la medida que, en el marco de los modelos de elección binarios o dicotómicos, se utiliza para reflejar el cambio en la probabilidad ante la variación de una de las variables explicativas. La opción de cuantificación más común ha consistido en utilizar el vector de valores medios de las variables explicativas, lo que podemos entender como poner el énfasis en el comportamiento de un "individuo medio". Frente a esta práctica habitual, efectuamos una propuesta...
Régression linéaire et estimation par la méthode des moindres carrés
Regression model with estimated covariance matrix
Regression quantiles and trimmed least squares estimator under a general design
Régression sous contraintes linéaires : application au codage des variables aléatoires
Regression type estimators of finite population variance under multiphase sampling.
Regular linear model with the nuisance parameters with constraints of the type I
Relative Measurement and Its Generalization in Decision Making. Why Pairwise Comparisons are Central in Mathematics for the Measurement of Intangible Factors. The Analytic Hierarchy/Network Process.
According to the great mathematician Henri Lebesgue, making direct comparisons of objects with regard to a property is a fundamental mathematical process for deriving measurements. Measuring objects by using a known scale first then comparing the measurements works well for properties for which scales of measurement exist. The theme of this paper is that direct comparisons are necessary to establish measurements for intangible properties that have no scales of measurement. In that case the value...
Remarks on algorithm 32
Repeated regression experiment and estimation of variance components