Results 211 to 220 of about 10,813 (266)

Bias Adjustment for Mean Squared Error Estimation in M‐Quantile Models for Small Area Estimation

open access: yesInternational Statistical Review, EarlyView.
Summary M‐quantile (MQ) regression provides a robust and flexible alternative to mixed models for small area estimation. However, several theoretical aspects remain underexplored. In this paper, a parametric bootstrap method is proposed to approximate the distributions of area‐specific MQ coefficients and applied to adjust the bias in the mean squared ...
María Bugallo   +3 more
wiley   +1 more source

Many plants naturalized as aliens abroad have also become more common within their native regions. [PDF]

open access: yesNat Commun
Paudel R   +21 more
europepmc   +1 more source

The Random Power Function for Tests Based on Pivotal Quantities

open access: yesInternational Statistical Review, EarlyView.
Summary In clinical trials planning, evaluation of the probability of success of an experiment is of central interest, for instance, in sample size determination. This assessment typically involves analyses of the power function of a test on a parameter of interest, such as a relevant treatment effect.
Fulvio De Santis   +2 more
wiley   +1 more source

Linking the Comparison and Graphical Approaches to Bipartite Matching

open access: yesInternational Statistical Review, EarlyView.
Summary Bipartite record linkage has the goal of identifying observations referring to the same individual, called coreferent observations, across two distinct non‐duplicated datasets. The two main approaches to solve this task are the Fellegi–Sunter model, which relies on pairwise comparisons of observations, and the graphical record linkage model ...
Edoardo Redivo
wiley   +1 more source

A note on generalised information criteria for structured sparse models

open access: yesInternational Statistical Review, EarlyView.
Summary We propose a generalised information criteria ( gic) that accounts for sparsity pattern in the model. We obtain both asymptotic and nonasymptotic results for model selection. Moreover, we show that the gic is useful for selecting the regularisation parameter in regularised m$$ m $$ estimation in high‐dimensional scenarios.
Eduardo Fonseca Mendes   +1 more
wiley   +1 more source

Multimodal Factor Analysis Reveals Five Robust Phenotypes of Healthy Aging in a Russian Population Cohort. [PDF]

open access: yesBiomedicines
Machekhina LV   +6 more
europepmc   +1 more source

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