Results 31 to 40 of about 248 (135)
A Note on Ancillarity and Independence via Model-Preserving Transformations [PDF]
1 online resource (PDF, 11 pages)Das Gupta, Somesh. (1978). A Note on Ancillarity and Independence via Model-Preserving Transformations.
Das Gupta, Somesh
core
Discussion of "An Ancillarity Paradox Which Appears in Multiple Linear Regression" by L. D. Brown [PDF]
6 pages, 1 article*Discussion of "An Ancillarity Paradox Which Appears in Multiple Linear Regression" by L. D.
Casella, George +3 more
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Reducción de modelos en la presencia de parámetros de perturbación
En muchos problemas de inferencia estadística existe interés en estimar solamente algunos elementos del vector de parámetros que definen el modelo adoptado.
RAFAEL FARIAS +2 more
doaj
In many statistical inference problems, there is interest in estimation of only some elements of the parameter vector that defines the adopted model.
Farias Rafael +2 more
doaj
Asymptotic ancillarity in time series analysis
In time series inference for a spectral parameter, an asymptotic ancillary statistic is constructed in terms of the maximum likelihood estimator and the observed Fisher information. It is shown that this ancillary statistic is second-order locally ancillary.
Taniguchi, Masanobu, Taniguchi, Ruriko
openaire +2 more sources
Conditional properties of Bayesian interval estimates [PDF]
Bayes intervals, nuisance parameters, orthogonal parameters, local ancillarity,
Anna Nicolaou
core +1 more source
En muchos problemas de inferencia estadística existe interés en estimar solamente algunos elementos del vector de parámetros que definen el modelo adoptado.
RAFAEL FARIAS +2 more
doaj
The doctrine of ancillary restrictions as a delimitation tool and an absorption principle: twin notions but not identical twins [PDF]
Contrary to the general view, ‘ancillary restrictions’ designate two separate conceptions, which should be treated as separate doctrines. As a ‘delimitation tool’, ancillarity separates ‘naked’ and ‘ancillary’ restrictions based on ‘reasonable necessity’.
Nagy Csongor István +1 more
core +1 more source
The reduction and ancillary classification of observations [PDF]
Generalized definitions of the invariance, (partial) sufficiency and ancillarity principles are given in a measure-theoretic context. Data reduction in statistical inference is described in terms of these principles.
Berkum, EEM Emiel van +2 more
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Efficient data augmentation techniques for some classes of state space models [PDF]
Data augmentation improves the convergence of iterative algorithms, such as the EM algorithm and Gibbs sampler by introducing carefully designed latent variables.
Tan, Linda S. L.
core +1 more source

