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Information Theory and Maximum Product of Spacings Estimation

Niels C. Lind
Journal of the Royal Statistical Society. Series B (Methodological)
Vol. 56, No. 2 (1994), pp. 341-343
Published by: Wiley for the Royal Statistical Society
Stable URL: http://www.jstor.org/stable/2345904
Page Count: 3
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Information Theory and Maximum Product of Spacings Estimation
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Abstract

A principle of least information is proposed for estimating continuous univariate distributions. Data are represented by quantiles; the principle yields a reference distribution that is identical with the maximum product of spacings estimate.

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