Multivariate normal inference based on singly imputed synthetic data under plug-in sampling

DOI10.1007/s13571-019-00215-9zbMath1469.62275OpenAlexW3008618971MaRDI QIDQ2040673

Yanyan Li

Publication date: 14 July 2021

Published in: Sankhyā. Series B (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11603/14965

zbMATH Keywords

multivariate normalstatistical disclosure controlpivotal quantityplug-in samplingtests for covariance structure

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Hypothesis testing in multivariate analysis (62H15)

Related Items (1)

PSinference

Cites Work

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• CERTAIN GENERALIZATIONS IN THE ANALYSIS OF VARIANCE
• Inference for Multivariate Regression Model based on synthetic data generated under Fixed-Posterior Predictive Sampling: comparison with Plug-in Sampling
• Significance Test for Sphericity of a Normal $n$-Variate Distribution

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