Computer algebra application to the distribution of sample correlation coefficient
DOI10.1016/S0378-4754(97)00083-9zbMath1017.62507OpenAlexW2091067258MaRDI QIDQ1404684
Hiroki Hashiguchi, Naoto Niki, Shigakazu Nakagawa
Publication date: 21 August 2003
Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0378-4754(97)00083-9
AlgorithmsComputer algebraProbabilityComputational methodsAsymptotic expansionPolynomialsIntegral equationsCorrelation methods
Measures of association (correlation, canonical correlation, etc.) (62H20) Symbolic computation and algebraic computation (68W30)
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- Normalizing and variance stabilizing transformations of multivariate statistics under an elliptical population
- Moments of elliptically distributed random variates
- Effects of transformations in higher order asymptotic expansions
- On the validity of the formal Edgeworth expansion
- Higher order asymptotic expansions for the distribution of the sample correlation coefficient
- DISTRIBUTION OF THE SAMPLE CORRELATION COEFFICIENT FOR NONNORMAL POPULATIONS
- TWO APPLICATIONS OF BIVARIATE k-STATISTICS
- BI-VARIATE k-STATISTICS AND CUMULANTS OF THEIR JOINT SAMPLING DISTRIBUTION
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