English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The Neyman and Scott (1948) model is widely used to demonstrate a seriousweakness of the Maximum Likelihood (ML) method: it can give rise toinconsistent estimators. The primary objective of this paper is to revisit thisexample with a view to demonstrate that the culprit for the inconsistentestimation is not the ML method but an ill-defined statistical model. It isalso shown that a simple recasting of this model renders it well-defined andthe ML method gives rise to consistent and asymptotically efficient estimators.

Revisiting the Neyman-Scott model: an Inconsistent MLE or an Ill-defined Model?