2006, Vol. 30, Núm. 1

Summary

  • Improving small area estimation by combining surveys: new perspectives in regional statistics. 

    Costa, Àlex; Satorra, A.; Ventura, Eva (Institut d'Estadística de Catalunya, 2006)
    Article
    Open Access
    A national survey designed for estimating a specific population quantity is sometimes used for estimation of this quantity also for a small area, such as a province. Budget constraints do not allow a greater sample size ...

  • About one problem of Bernoulli and Euler from the theory of statistical estimation. 

    Nikulin, Mikhaïl (Institut d'Estadística de Catalunya, 2006)
    Article
    Open Access
    We consider some results by D. Bernoulli and L. Euler on the method of maximum likelihood in parametric estimation. The statistical analysis is made by considering a parametric family with a shift parameter.

  • A matrix function useful in the estimation of linear continuous-time models. 

    Neudecker, Heinz (Institut d'Estadística de Catalunya, 2006)
    Article
    Open Access
    In a recent publication Chen & Zadrozny (2001) derive some equations for efficiently computing eA and ∇ eA, its derivative. They employ an expression due to Bellman (1960), Snider (1964) and Wilcox (1967) for the differential ...

  • The importance of being the upper bound in the bivariate family. 

    Cuadras, C.M. (Carlos Maria) (Institut d'Estadística de Catalunya, 2006)
    Article
    Open Access
    Any bivariate cdf is bounded by the Fr ´echet-Hoeffding lower and upper bounds. We illustrate the importance of the upper bound in several ways. Any bivariate distribution can be written in terms of this bound, which is ...

  • On the frequentist and Bayesian approaches to hypothesis testing. 

    Girón González-Torre, Francisco Javier; Moreno, Elías (Institut d'Estadística de Catalunya, 2006)
    Article
    Open Access
    Hypothesis testing is a model selection problem for which the solution proposed by the two main statistical streams of thought, frequentists and Bayesians, substantially differ. One may think that this fact might be due ...