Abstract
This paper expands the a priori procedure (APP) to enable researchers to determine appropriate sample sizes for using sample correlation coefficients to estimate corresponding population correlation coefficients. The underlying assumption is that the population follows a skew normal distribution, which is more general than the typical assumption of a normal distribution. Furthermore, we work out the statistical implications and provide links to free and user-friendly programs.
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Wang, C., Wang, T., Trafimow, D., Tong, T. (2022). Estimating the Correlation Coefficients in a Multivariate Skew Normal Population Using the a Priori Procedure (APP). In: Ngoc Thach, N., Kreinovich, V., Ha, D.T., Trung, N.D. (eds) Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics. ECONVN 2022. Studies in Systems, Decision and Control, vol 427. Springer, Cham. https://doi.org/10.1007/978-3-030-98689-6_11
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DOI: https://doi.org/10.1007/978-3-030-98689-6_11
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