Assessing small area estimates via bootstrap-weighted k-Nearest-Neighbor artificial populations

Comparing and evaluating small area estimation (SAE) models for a given application is inherently difficult. Typically, many areas lack enough data to check unit-level modeling assumptions or to assess unit-level predictions empirically; and no ground truth is available for checking area-level estim...

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Bibliographische Detailangaben

Hauptverfasser:	White, Grayson W, Wieczorek, Jerzy A, Cody, Zachariah W, Tan, Emily X, Chistolini, Jacqueline O, McConville, Kelly S, Frescino, Tracey S, Moisen, Gretchen G
Format:	Artikel
Sprache:	eng
Schlagworte:	Statistics - Methodology
Online-Zugang:	Volltext bestellen
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