The distribution of the sample correlation coefficient under variance-truncated normality

Haruhiko Ogasawara ()
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Haruhiko Ogasawara: Otaru University of Commerce

Metrika: International Journal for Theoretical and Applied Statistics, 2024, vol. 87, issue 5, No 1, 497 pages

Abstract: Abstract The non-null distribution of the sample correlation coefficient under bivariate normality is derived when each of the associated two sample variances is subject to stripe truncation including usual single and double truncation as special cases. The probability density function is obtained using series expressions as in the untruncated case with new definitions of weighted hypergeometric functions. Formulas of the moments of arbitrary orders are given using the weighted hypergeometric functions. It is shown that the null joint distribution of the sample correlation coefficients under multivariate untruncated normality holds also in the variance-truncated cases. Some numerical illustrations are shown.

Keywords: Wishart distribution; Stripe truncation; Weighted hypergeometric functions; Sample variances and covariances; Multivariate normality; Multivariate gamma function (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s00184-023-00918-0

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