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Research article

First published 2026-3

Defining Ad-Hoc Sampling Designs for Small Area Estimation

Piero Demetrio Falorsi, Stefano Falorsi, Vincenzo Nardelli [...]

Journal of Official Statistics

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Research article

First published 2004-08

Bayesian Posterior Estimation of Logit Parameters with Small Samples

Francisca Galindo-Garre, Jeroen K. Vermunt, Wicher P. Bergsma

Sociological Methods & Research

Open access

Research article

First published 2018-06

Small Area Estimation with a Lognormal Mixed Model under Informative Sampling

Thomas Zimmermann, Ralf Thomas Münnich

Journal of Official Statistics

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Research article

First published 2019-2

Categorical Omega With Small Sample Sizes via Bayesian Estimation: An Alternative to Frequentist Estimators

Yanyun Yang, Yan Xia

Educational and Psychological Measurement

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Research article

First published 2010-12

The Effects of Small Sample Size on Identifying Polytomous DIF Using the Liu–Agresti Estimator of the Cumulative Common Odds Ratio

Jorge Carvajal

Educational and Psychological Measurement

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Research article

First published 2010-6

Parameter Estimation With Small Sample Size A Higher-Order IRT Model Approach

Jimmy de la Torre, Yuan Hong

Applied Psychological Measurement

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Research article

First published 2016-10

A post hoc evaluation of a sample size re-estimation in the Secondary Prevention of Small Subcortical Strokes study

Leslie A McClure, Jeff M Szychowski, Oscar Benavente [...]

Clinical Trials

Open access

Research article

First published 2023-11

Using Auxiliary Item Information in the Item Parameter Estimation of a Graded Response Model for a Small to Medium Sample Size: Empirical Versus Hierarchical Bayes Estimation

Matthew Naveiras, Sun-Joo Cho

Applied Psychological Measurement

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Research article

First published 2009-5

Estimating a population median with a small sample

Boris Shulkin, Shlomo S. Sawilowsky

Model Assisted Statistics and Applications

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Research article

First published 2017-8

On overall sampling plan for small area estimation

Mauno Keto, Erkki Pahkinen

Statistical Journal of the IAOS

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