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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Dettagli Bibliografici
Autori principali: Ray Chambers, Nicola Salvati, Enrico Fabrizi, Andrea Diniz da Silva
Natura: Articolo
Lingua:English
Pubblicazione: Taylor & Francis Group 2019-07-01
Serie:Statistical Theory and Related Fields
Soggetti:
Accesso online:http://dx.doi.org/10.1080/24754269.2019.1653158