Confidence interval for normal means in meta-analysis based on a pretest estimator-Reference-Cited by-同舟云学术

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Confidence interval for normal means in meta-analysis based on a pretest estimator

Published:2023-11-27 Issue: Volume: Page:
ISSN:2520-8756
Container-title:Japanese Journal of Statistics and Data Science
language:en
Short-container-title:Jpn J Stat Data Sci

Author:

Taketomi Nanami,Chang Yuan-Tsung,Konno Yoshihiko,Mori Mihoko,Emura Takeshi

Funder

Japan Society for the Promotion of Science

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Statistics and Probability

Link

https://link.springer.com/content/pdf/10.1007/s42081-023-00221-2.pdf

Reference58 articles.

1. Aldeni, M., Wagaman, J., Amezziane, M., & Ahmed, S. E. (2022). Pretest and shrinkage estimators for log-normal means. Computational Statistics. https://doi.org/10.1007/s00180-022-01286-5

2. Bancroft, T. A. (1944). On biases in estimation due to the use of preliminary tests of significance. Annals of Mathematical Statistics, 15(2), 190–204. https://psycnet.apa.org/doi/10.1214/aoms/1177731284

3. Batra, K., Singh, T. P., Sharma, M., Batra, R., & Schvaneveldt, N. (2020). Investigating the psychological impact of COVID-19 among healthcare workers: A meta-analysis. International Journal of Environmental Research and Public Health, 17(23), 9096. https://doi.org/10.3390/ijerph17239096

4. Borenstein, M., Hedges, L. V., Higgins, J. P., & Rothstein, H. R. (2011). Introduction to meta-analysis. Hoboken: Wiley. https://doi.org/10.1002/9780470743386

5. Casella, G., & Berger, R. L. (2002). Statistical inference. California: Duxbury.

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1. uni.shrinkage: Shrinkage Estimation for Univariate Normal Mean;CRAN: Contributed Packages;2024-09-10

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