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In this paper we discuss improved estimators for the regression and the dispersion parameters in an extended class of dispersion models (Jørgensen, 1996). This class extends the regular dispe...
We introduce the dispersion models with a regression structure to extend the generalized linear models, the exponential family nonlinear models (Cordeiro and Paula, 1989) and the proper dispersion m...
In this paper we study the post-penalized estimator which applies ordinary, unpenalized linear regression to the model selected by the first step penalized estimators, typically the LASSO. It is wel...
Invariantly optimal estimators of functions, with respect to mean integrated squared etror as a risk, are considered. Thcir Bayes properties are investigated and, for several examples, explicit sol...
The paper gives a sufkient condition for the limit of a sequence of the unique best linear estimators to be admissible. For commutative variance components models a complete characterization of hrn...
On improving unbiased estimators by multiplication with a matrix。
Consistency of M-estimators in a linear model, generated by nonmonotone and discontinuous psi-functions。
A sulficient condition for an invariant quadratic estimator of a linear function of the vector of variance components to be admissible under the mean square &or among all translation invariant esti...
We study the nonparametric spline density estimators of probability density. The equivalence of weak convergence for L,-consistency of one density and completely for L,-consistency of all densities...
Minimum L(1)-penalized distance estimators of a density and its derivatives
The suggested ordering of estimators uses the separation measure between the population with true and estimated values of parameter. It allows us ta choose one estimator as better in the cases wher...
M-estimators of regression parameter vector in linear model, studentized by a suitable afine-invariant and scale-equivariant scale statistic, become a n e - and scale-equivariant. We study some asy...
MAP estimators and HPD credible sets are often criticized in the literature because of paradoxical behaviour due to a lack of invariance under reparametrization. In this paper, we propose a new vers...

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