Abstract
We consider a class of mixture models for positive continuous data and the estimation of an underlying parameter θ of the mixing distribution. With a unified approach, we obtain classes of dominating estimators under squared error loss of an unbiased estimator, which include smooth estimators. Applications include estimating noncentrality parameters of chi-square and F-distributions, as well as ρ 2/(1 − ρ 2), where ρ is amultivariate correlation coefficient in a multivariate normal set-up. Finally, the findings are extended to situations, where there exists a lower bound constraint on θ.
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References
J. O. Berger, A. Philippe, and C. P. Robert, “Estimation of Quadratic Functions: Noninformative Priors for Noncentrality Parameters”, Statist. Sinica 8, 359–375 (1998).
L. Brown, I. Johnstone, and B. MacGibbon, “Variation Diminishing Transfromations: A Direct Approach to Total Positivity and Its Statistical Applications”, J. Amer. Statist. Assoc. 76, 824–832 (1981).
M. S. Chow, “A Complete Class Theorem for Estimating a Noncentrality Parameter”, Ann. Statist. 15, 800–804 (1987).
R. A. Fisher, “The Influence of Rainfall on the Yield of Wheat at Rothamsted”, Philos. Trans. Roy. Soc. London, Ser. B 213, 89–124 (1924).
J. Gurland, “A Relatively Simple Form of the Distribution of the Multiple Correlation Coefficient”, J. Roy. Statist. Soc. B 30, 276–283 (1968).
T. Kubokawa, C. P. Robert, and A. K. Md. E. Saleh, “Estimation of Noncentrality Parameters”, Canad. J. Statist. 21, 45–57 (1993).
E. L. Lehmann and G. Casella, Point Estimation, in Springer Texts in Statistics (Springer, New York, 1998).
E. L. Lehmann, Testing Statistical Hypotheses, in Springer Texts in Statistics (Springer, New York, 1986).
P. L. Leung, “Improved Estimation of Functions of the Canonical Correlation Coefficients”, Commun. Statist.–Theory Methods 23, 831–840 (1994).
P. L. Leung and R. J. Muirhead, “Estimation of Parameter Matrices and Eigenvalues in MANOVA and Canonical Correlation Analysis”, Ann. Statist. 15, 1651–1666 (1987).
M. Lo and P. L. Leung, “Decision Theoretic Estimation of Functions of the Canonical Correlation Coefficients”, Commun. Statist.–Theory Methods 25, 1985–1995 (1996).
Q. Li, J. Zhang, and S. Dai, “On Estimating the Noncentrality Parameter of a Chi-Squared Distribution”, Statist. Probab. Lett. 79, 98–104 (2009).
É. Marchand and W. E. Strawderman, “On Improving on the Minimum Risk Equivariant Estimator of a Location Parameter Which is Constrained to an Interval or a Half-Interval”, Ann. Inst. Statist. Math. 57, 129–143 (2005).
É. Marchand, “Point Estimation of the Coefficient of Determination”, Statist. Decisions 19, 137–154 (2001).
R. J. Muirhead, Aspects of Multivariate Statistical Theory (Wiley, New York, 1982).
R. J. Muirhead, “Estimating a Particular Function of the Multiple Correlation Coefficient”, J. Amer. Statist. Assoc. 80, 923–925 (1985).
R. J. Muirhead and P. L. Leung, “Estimating Functions of Canonical Correlation Coefficients”, Linear Algebra Appl. 70, 173–183 (1985).
N. Neff and W. E. Strawderman, “Further Remarks on Estimating the Parameter of a Noncentral Chi- Squared Distribution”, Comm. Statist. A 5, 65–76 (1976).
I. Olkin and J. W. Pratt, “Unbiased Estimation of Certain Correlation Coefficients”, Ann. Math. Statist. 29, 201–211 (1958).
M. D. Perlman and V. A. Rasmussen, “Some Remarks on Estimating a Noncentrality Parameter”, Comm. Statist. A 4, 455–468 (1975).
A. L. Rukhin, “Estimation of the Noncentrality Parameter of an F-Distribution”, J. Statist. Plann. Inf. 35, 201–311 (1993).
K. M. L. Saxena and K. Alam, “Estimation of the Noncentrality Parameter of the Chi-Squared Distribution”, Ann. Statist. 10, 1012–1016 (1982).
P. Y.-S. Shao and W. E. Strawderman, “Improving on the Positive Part of the UMVUE of a Noncentrality Parameter of a Noncentral Chi-Square Distribution”, J. Multivariate Anal. 53, 52–66 (1995).
M. C. Spruill, “Computation of the Maximum Likelihood Estimate of a Noncentrality Parameter”, J. Multivariate Anal. 18, 216–224 (1986).
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Kubokawa, T., Marchand, É. & Strawderman, W.E. A unified approach to estimation of noncentrality parameters, the multiple correlation coefficient, and mixture models. Math. Meth. Stat. 26, 134–148 (2017). https://doi.org/10.3103/S106653071702003X
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DOI: https://doi.org/10.3103/S106653071702003X