A probabilistic approach to the estimation of the distribution of the target location point.
Aplicación del método de regresión de Gehan y Siddiqui y el test de la F de Cox en el análisis de datos de supervivencia.
Este trabajo muestra algunas de las posibilidades de la estadística paramétrica en el análisis de datos de supervivencia en el campo de la toxicología y genética de poblaciones.La aplicación del método de regresión de Gehan y Siddiqui ha proporcionado un buen ajuste de los datos de supervivencia a una de las 4 distribuciones que contempla este método (Exponencial, Weibull, Gompertz y Exponencial lineal) en el 81% de los casos y de éstos en el 74% se han ajustado a una distribución Exponencial, mientras...
Comparación de curvas de supervivencia gamma estocásticamente ordenadas.
En este trabajo se propone un análisis de supervivencia basado en un modelo Gamma. Se obtienen las condiciones teóricas bajo las cuales dos funciones de supervivencia Gamma están estocásticamente ordenadas. Estos resultados se utilizan para proponer un método sencillo que permite comparar dos poblaciones cuando, a priori, se conoce que sus curvas de supervivencia están estocásticamente ordenadas. Los resultados se ejemplifican con el análisis de un banco de datos reales sobre tiempos de desempleo....
Dynamic dependence ordering for Archimedean copulas and distorted copulas
This paper proposes a general framework to compare the strength of the dependence in survival models, as time changes, i. e. given remaining lifetimes , to compare the dependence of given , and given , where . More precisely, analytical results will be obtained in the case the survival copula of is either Archimedean or a distorted copula. The case of a frailty based model will also be discussed in details.
Estimating the angles of arrival of multiple plane waves. The statistical performance of the music and the minimum norm algorithms
Hazard rate model and statistical analysis of a compound point process
A stochastic process cumulating random increments at random moments is studied. We model it as a two-dimensional random point process and study advantages of such an approach. First, a rather general model allowing for the dependence of both components mutually as well as on covariates is formulated, then the case where the increments depend on time is analyzed with the aid of the multiplicative hazard regression model. Special attention is devoted to the problem of prediction of process behaviour....
Les processus de surveillance. Étude et simulation d'un cas
Multisensor estimation: New distributed algorithms.
Nonlinear filtering for LIDAR signal processing.
On useful schema in survival analysis after heart attack
Recent model of lifetime after a heart attack involves some integer coefficients. Our goal is to get these coefficients in simple way and transparent form. To this aim we construct a schema according to a rule which combines the ideas used in the Pascal triangle and the generalized Fibonacci and Lucas numbers
Parameter estimation in cosine regression
Partial least-squares: Theoretical isssues and engineering applications in signal processing.
Power spectrum of the quasiperiodic and the aperiodic group pulse process
Quality of optimum statistical estimates in case of ambiguity
Radioactivity half-lives considered as data.
Semigroups of Semi-copulas and Evolution of Dependence at Increase of Age.
Statistical modelling of deformation measurements.
Summaries of articles published in this issue
Symmetric models for lifetimes: the role of exchangeable equivalence relations
A model of a heterogeneous population partitioned into a finite number of classes according an exchangeable equivalence relation is studied. With this motivation the properties of exchangeable equivalence relations are investigated and, in particular, the structure of its equivalence classes is characterized.
The beta Gumbel distribution.