Computing the minimal efficiency of designs by a differentiable approximation of -optimality criteria.
Conception de plans d'expériences ou d'enquêtes permutables distributifs
Connectedness of row and column designs
Construction of extended Steiner systems for information retrieval.
Constructions for resolvable and related designs.
Contrastación de hipótesis en diseños multivariados split-plot con matrices de dispersión arbitrarias.
El presente trabajo examina diversos procedimientos para contrastar hipótesis nulas globales, correspondientes a datos obtenidos mediante diseños multivariados split-plot cuando se incumple el supuesto de homogeneidad de las matrices de dispersión. Un examen de estos procedimientos para un amplio número de variables confirma, por un lado, la robustez del procedimiento multivariado de Welch-James dado por Johansen (1980) para probar el efecto principal de los ensayos y, por otro, la robustez de la...
Control treatments in designs with split units generated by Latin squares
This paper deals with two-factor experiments with split units. The whole plot treatments occur in a repeated Latin square, modified Latin square or Youden square, while subplot treatments occur in a block design within the whole plots. The statistical properties of the considered designs are examined. Special attention is paid to the case where one of the treatments is an individual control or an individual standard treatment. In addition, we give a brief overview of work on the design of experiments...
Criteria for optimal design of small-sample experiments with correlated observations
We consider observations of a random process (or a random field), which is modeled by a nonlinear regression with a parametrized mean (or trend) and a parametrized covariance function. Optimality criteria for parameter estimation are to be based here on the mean square errors (MSE) of estimators. We mention briefly expressions obtained for very small samples via probability densities of estimators. Then we show that an approximation of MSE via Fisher information matrix is possible, even for small...
Cross additivity - an application
We try to show that Discriminant Analysis can be considered as a branch of Statistical Decision Theory when viewed from a Bayesian approach. First we present the necessary measure theory results, next we briefly outline the foundations of Bayesian Inference before developing Discriminant Analysis as an application of Bayesian Estimation. Our approach renders Discriminant Analysis more flexible since it gives the possibility of classing an element as belonging to a group of populations. This possibility...
Design of a model following control system for nonlinear descriptor system in discrete time
A model following control system (MFCS) can output general signals following the desired ones. In this paper, a method of nonlinear MFCS will be extended to be a nonlinear descriptor system in discrete time. The nonlinear system studied in this paper has the property of norm constraint , where , , . In this case, a new criterion is proposed to ensure the internal states be stable.
Diseño secuencial para discriminar entre modelos, basado en la información cuadrática.
La información cuadrática es una buena alternativa a la información de Shannon para todos aquellos problemas que, por su naturaleza, interesa tratarlos con una utilidad no local. El objetivo de este trabajo es dar, para estas situaciones, un método secuencial de construcción de diseños para discriminación entre modelos, basado en la maximización de la información cuadrática.Después de una introducción, donde se resumen los conceptos y resultados principales sobre información cuadrática, se plantea...
Distribution of estimators and optimal experimental design in nonlinear regression
D-optimal and highly D-efficient designs with non-negatively correlated observations
In this paper we consider D-optimal and highly D-efficient chemical balance weighing designs. The errors are assumed to be equally non-negatively correlated and to have equal variances. Some necessary and sufficient conditions under which a design is D*-optimal design (regular D-optimal design) are proved. It is also shown that in many cases D*-optimal design does not exist. In many of those cases the designs constructed by Masaro and Wong (2008) and some new designs are shown to be highly D-efficient....
D-optimal cyclic two-dimensional block designs.
In this paper we consider a class of incomplete block designs in which every block is two dimensional. Thus heterogeneity is removed not only between blocks, but also in two directions within each block. Such designs have been considered before in Srivastava (1977,1978). Here, we consider the class of cyclic designs of this type when the number of treatments ν is an odd number between 5 and 25, and present designs that are D-optimal within this class.
D-optimal weighing designs for four and five objects.
Dual response systems optimization. An approximation approach.
Efficiency of cropping system designs via base contrast
The present article is a continuation of previous papers by the same authors devoted to the efficiency of crop rotation experiments. We focus on plans distinguished by the cyclical pattern of the incidence matrix. For practical reasons, we slightly modify the efficiency coefficient. The relation between the resulting efficiency coefficients is examined. In addition, we provide a background material on crop rotation experiments.
Efficient covering designs of the complete graph.
Eigenvalues of nonsingular matices and combinatorial applications
E-Optimal Minimally Connected Block Designs Under Mixed Effects Model.