We propose a likelihood ratio test to assess that sampling has been completed in closed population size estimation studies. More precisely, we assess if the expected number of subjects that have never been sampled is below a user-specified threshold. The likelihood ratio test statistic has a nonstandard distribution under the null hypothesis. Critical values can be easily approximated and tabulated, and they do not depend on model specification. We illustrate in a simulation study and three real data examples, one of which involves ascertainment bias of amyotrophic lateral sclerosis in Gulf War veterans.
Farcomeni, A. (2023). A likelihood ratio test for completed sampling in population size estimation studies. BIOMETRICAL JOURNAL, 65(2) [10.1002/bimj.202200129].
A likelihood ratio test for completed sampling in population size estimation studies
Farcomeni, Alessio
2023-02-01
Abstract
We propose a likelihood ratio test to assess that sampling has been completed in closed population size estimation studies. More precisely, we assess if the expected number of subjects that have never been sampled is below a user-specified threshold. The likelihood ratio test statistic has a nonstandard distribution under the null hypothesis. Critical values can be easily approximated and tabulated, and they do not depend on model specification. We illustrate in a simulation study and three real data examples, one of which involves ascertainment bias of amyotrophic lateral sclerosis in Gulf War veterans.File | Dimensione | Formato | |
---|---|---|---|
testN.pdf
solo utenti autorizzati
Tipologia:
Documento in Post-print
Licenza:
Copyright dell'editore
Dimensione
191.2 kB
Formato
Adobe PDF
|
191.2 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.