On the implementation of maximum entropy sampling with unequal probabilities and without replacement

Sampling with maximum entropy offers robustness to statistical inference based on randomization theory. However, there were no comprehensive, practical guides explaining how to implement maximum entropy sampling for finite populations with unequal probabilities and without replacement. This article...

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Библиографические подробности

Главный автор:	Philippe Aubry
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Elsevier 2026-06-01
Серии:	MethodsX
Предметы:	Unequal probability sampling Maximum entropy sampling Conditional Poisson sampling Sampling algorithms Poisson binomial distribution Joint inclusion probabilities
Online-ссылка:	http://www.sciencedirect.com/science/article/pii/S2215016125006247
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