Summary
The present paper investigates the properties of the sampling distribution of an operational general ridge estimator. Exact expression are given for the moments and their approximations are worked out when non-centrality parameter is large. These approximations are used to study the skewness and kurtosis of the sampling distribution.
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References
Copson, E.T.: An Introduction to the Theory of Functions of a Complex Variable. New York 1974.
Dwivedi, T.D., andV.K. Srivastava: A Survey of Ridge Estimators in Linear Regression Models. In: International Dedication Seminar on Recent Advances in Mathematics and its Applications (Invited Lectures). Ed. by R.S. Mishra. 1978. 171–181.
Dwivedi, T.D., V.K. Srivastava, andR.L. Hall: Finite Sample Properties of Ridge Estimators. Technometrics22, 1980, 205–212.
Hoerl, A.E., andR.W. Kennara: Ridge Regression: Biased Estimation for Non-Orthogonal Problems. Technometrics12, 1970a, 55–67.
—: Ridge Regression: Application to Non-Orthogonal Problems. Technometrics12, 1970b, 69–82.
Luke, Y.L.: The Special Functions and their Approximations. Vol. I. New York 1969.
Vinod, H.D.: A Survey of Ridge Regression and Related Techniques for Improvements over ordinary Least Squares. Review of Economics and Statistics60, 1978, 121–131.
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Srivastava, V.K., Chaturvedi, A. Some properties of the distribution of an operational ridge estimator. Metrika 30, 227–237 (1983). https://doi.org/10.1007/BF02056927
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DOI: https://doi.org/10.1007/BF02056927