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Research article

First published 2020-7

An illustration of Bayesian approximate measurement invariance with longitudinal data and a small sample size

Sonja D. Winter, Sarah Depaoli

International Journal of Behavioral Development

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Research article

First published 2021-3

Fitting latent growth models with small sample sizes and non-normal missing data

Dexin Shi, Christine DiStefano, Xiaying Zheng [...]

International Journal of Behavioral Development

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Research article

First published 2017-12

Correcting Model Fit Criteria for Small Sample Latent Growth Models With Incomplete Data

Daniel McNeish, Jeffrey R. Harring

Educational and Psychological Measurement

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Research article

First published 2012-11

On sampling strategies for small and continuous data with the modeling of genetic programming and adaptive neuro-fuzzy inference system

S. Sen, E.A. Sezer, C. Gokceoglu [...]

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2016-2

Using Data-Dependent Priors to Mitigate Small Sample Bias in Latent Growth Models

Daniel M. McNeish

Journal of Educational and Behavioral Statistics

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Research article

First published 2024-12

Intelligent fault diagnosis based on improved convolutional neural network for small sample and imbalanced bearing data

Xuetao Liu, Hongyan Yang

Transactions of the Institute of Measurement and Control

Open access

Research article

First published 2021-3

Small sample sizes: A big data problem in high-dimensional data analysis

Frank Konietschke, Karima Schwab, Markus Pauly

Statistical Methods in Medical Research

Open access

Research article

First published 2014-12

The Impact of Sampling Designs on Small Area Estimates for Business Data

Jan Pablo Burgard, Ralf Münnich, Thomas Zimmermann

Journal of Official Statistics

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Research article

First published 2010-1

Multi-dimensional data construction method with its application to learning from small-sample-sets

Hsiao-Fan Wang, Chun-Jung Huang

Intelligent Data Analysis: An International Journal

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Research article

First published 2013-11

The Bias and Efficiency of Incomplete-Data Estimators in Small Univariate Normal Samples

Paul T. von Hippel

Sociological Methods & Research

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