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Journal of Statistical Computation and Simulation Volume 59, 1997 - Issue 2
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Original Articles

On moments of beta mixtures,the noncentral beta distribution,and the coefficient of determination

Marchand Éric Department of Math.Stat.and C.S, University of New Brunswick, P.O. Box 5050,Saint John, N.B.Canada, E2L4L5
Pages 161-178 | Received 20 Mar 1997, Published online: 20 Mar 2007

Citations (10)

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Read on this site (3)

M. Hafidz Omar, Anwar H. Joarder & Muhammad Riaz. (2015) On a Correlated Variance Ratio Distribution and Its Industrial Application. Communications in Statistics - Theory and Methods 44:2, pages 261-274.
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Johannes Forkman. (2009) Estimator and Tests for Common Coefficients of Variation in Normal Distributions. Communications in Statistics - Theory and Methods 38:2, pages 233-251.
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Saralees Nadarajah & Samuel Kotz. (2007) Multitude of beta distributions with applications. Statistics 41:2, pages 153-179.
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Articles from other publishers (7)

M. C. Jones & Éric Marchand. (2021) A (non‐central) chi‐squared mixture of non‐central chi‐squareds is (non‐central) chi‐squared and related results, corollaries and applications. Stat 10:1.
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Shalabh & Subhra Sankar Dhar. (2021) Goodness of Fit in Nonparametric Regression Modelling. Journal of Statistical Theory and Practice 15:1.
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C.-L. Cheng, Shalabh & G. Garg. (2016) Goodness of fit in restricted measurement error models. Journal of Multivariate Analysis 145, pages 101-116.
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Steen Magnussen & Oswaldo Ismael Carillo Negrete. (2015) Model errors in tree biomass estimates computed with an approximation to a missing covariance matrix. Carbon Balance and Management 10:1.
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C.-L. Cheng, Shalabh & G. Garg. (2014) Coefficient of determination for multiple measurement error models. Journal of Multivariate Analysis 126, pages 137-152.
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Saralees Nadarajah & Samuel Kotz. (2007) Exact computations for the coherence estimate. Medical & Biological Engineering & Computing 45:7, pages 701-705.
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Kevin Kim. 2006. Univariate and Multivariate General Linear Models. Univariate and Multivariate General Linear Models 479 535 .

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