✦ LIBER ✦

Small-sample degrees of freedom for multi-component significance tests with multiple imputation for missing data

✍ Scribed by Reiter, J. P.

Book ID: 121825881
Publisher: Oxford University Press
Year: 2007
Tongue: English
Weight: 90 KB
Volume: 94
Category: Article
ISSN: 0006-3444
DOI: 10.1093/biomet/asm028

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Small-Sample Degrees of Freedom for Mult

Small-Sample Degrees of Freedom for Multi-Component Significance Tests with Multiple Imputation for Missing Data

✍ Jerome P. Reiter 📂 Article 📅 2007 🏛 Oxford University Press 🌐 English ⚖ 610 KB

TESTS OF SIGNIFICANCE FOR SAMPLES OF THE

TESTS OF SIGNIFICANCE FOR SAMPLES OF THE x2-POPULATION WITH TWO DEGREES OF FREEDOM

✍ SUKHATME, P. V. 📂 Article 📅 1937 🏛 Wiley (Blackwell Publishing) 🌐 English ⚖ 247 KB

Small-sample properties of some tests fo

Small-sample properties of some tests for unit root with data-based choice of the degree of augmentation

✍ T. Oke; J. Lyhagen 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 103 KB

In the augmented Dickey-Fuller (ADF) regression one usually decides on the level of the "augmentation" prior to the performing of unit root test. This is a purely data-dependent method that uses either some information criteria or some sequential test of signiÿcance on parameter estimates. Contrary

Nonparametric relevance-shifted multiple

Nonparametric relevance-shifted multiple testing procedures for the analysis of high-dimensional multivariate data with small sample sizes

✍ Cornelia Frömke; Ludwig A Hothorn; Siegfried Kropf 📂 Article 📅 2008 🏛 BioMed Central 🌐 English ⚖ 307 KB