Admissibility of Generalized Bayes Estimators in An One Parameter Nonregular Family.
Admissible and Minimax Estimators of ...r in the Gamma Distribution with Truncated Parameter Space.
Advances in Order Restricted Statistical Inference - R. Dykstra, T. Robertson, F. T. Wright .
Ajustement linéaire lorsque les deux variables sont soumises à des erreurs de variances hétérogènes
Algebraic Methods for Studying Interactions Between Epidemiological Variables
BackgroundIndependence models among variables is one of the most relevant topics in epidemiology, particularly in molecular epidemiology for the study of gene-gene and gene-environment interactions. They have been studied using three main kinds of analysis: regression analysis, data mining approaches and Bayesian model selection. Recently, methods of algebraic statistics have been extensively used for applications to biology. In this paper we present...
Algorithms. 47. ALPHA CHISQ. An algorithm for the chi-square test without application of critial values
Algorithms for Bayesian estimation of spline model structure
Algorithms for determining the model structure of a controlled system
Algunos métodos generales para la construcción de tests paramétricos y no paramétricos.
Se construyen algunos tests para varias hipótesis paramétricas y no paramétricas. La metodología utiliza un nuevo sistema de coordinados, cuyos componentes son el estadístico suficiente mínimo y un estadístico independiente y complementario a tal estadístico.
Almost Unbiased Estimation in Multiplicative Models.
Almost Unbiased Product-Type Estimator.
Alternative parametric estimation in the exponential case under random censorship
Alternativtests für zwei einfache Hypothesen mit endlich vielen Ergebnissen.
An adaptive method of estimation and outlier detection in regression applicable for small to moderate sample sizes
In small to moderate sample sizes it is important to make use of all the data when there are no outliers, for reasons of efficiency. It is equally important to guard against the possibility that there may be single or multiple outliers which can have disastrous effects on normal theory least squares estimation and inference. The purpose of this paper is to describe and illustrate the use of an adaptive regression estimation algorithm which can be used to highlight outliers, either single or multiple...
An admissible estimator of a lower-bounded scale parameter under squared-log error loss function
Estimation in truncated parameter space is one of the most important features in statistical inference, because the frequently used criterion of unbiasedness is useless, since no unbiased estimator exists in general. So, other optimally criteria such as admissibility and minimaxity have to be looked for among others. In this paper we consider a subclass of the exponential families of distributions. Bayes estimator of a lower-bounded scale parameter, under the squared-log error loss function with...
An alternative analysis of variance.
The one-way analysis of variance is a staple of elementary statistics courses. The hypothesis test of homogeneity of the means encourages the use of the selected-model based estimators which are usually assessed without any regard for the uncertainty about the outcome of the test. We expose the weaknesses of such estimators when the uncertainty is taken into account, as it should be, and propose synthetic estimators as an alternative.
An Approach to Fuzzy Hypothesis Testing.
An Approximation to the Limit Distribution of the Epps-Pulley Test Statistic for Normality.
An asymptotic optimal design.
An asymptotic representation of the likelihood ratio for irregular families of distributions in the multivariate case.