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Model-based dose finding under model uncertainty using general parametric models
Model-based model uncertainty parametric models
2013/6/13
Statistical methodology for the design and analysis of clinical Phase II dose response studies, with related software implementation, are well developed for the case of a normally distributed, homosce...
A procedure for the change point problem in parametric models based on phi-divergence test-statistics
Change point Information criterion Divergence Wald test-statistic
2011/7/19
This paper studies the change point problem for a general parametric, univariate or multivariate family of distributions.
A goodness-of-fit test for parametric and semi-parametric models in multiresponse regression
additive regression bootstrap empirical likelihood goodness of fit infinite-dimensional parameter kernel estimation monotone regression
2010/3/9
We propose an empirical likelihood test that is able to test the goodness of fit of a class of parametric and semi-parametric multiresponse regression models. The class includes as special cases
full...
On minimum bias and variance estimation for parametric models with shrinking contamination
minimum bias and variance estimation parametric models shrinking contamination
2009/9/24
A close relationship is derived between optimal Mestimation
and optimal robust testing for shrinking contaminations.
Explicit formulas are given for solutions when the loss is defined as
convex com...
A comparison of parametric models for mortality graduation. Application to mortality data for the Valencia Region （Spain）
Gompertz-Makeham functions Heligman and Pollard’s laws parametric graduation
2009/2/23
The parametric graduation of mortality data has as its objective the satisfactory estimation of the death rates based on mortality data but using an age-dependent function whose parameters are adjuste...