Domain estimation under informative linkage

A standard assumption when modelling linked sample data is that the stochastic properties of the linking process and process underpinning the population values of the response variable are independent of one another. This is often referred to as non-informative linkage. But what if linkage errors ar...

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Bibliographic Details
Main Authors: Ray Chambers, Nicola Salvati, Enrico Fabrizi, Andrea Diniz da Silva
Format: Article
Language:English
Published: Taylor & Francis Group 2019-07-01
Series:Statistical Theory and Related Fields
Subjects:
Online Access:http://dx.doi.org/10.1080/24754269.2019.1653158