Abstract
This work includes a new characterization of the multivariate normal distribution. In particular, it is shown that a positive density function f is Gaussian if and only if the f(x+y)/f(x) is convex in x for every y. This result has implications to recent research regarding inadmissibility of a test studied by Moran (1973).
| Original language | English |
|---|---|
| Article number | 109455 |
| Journal | Statistics and Probability Letters |
| Volume | 186 |
| DOIs | |
| State | Published - Jul 2022 |
Bibliographical note
Publisher Copyright:© 2022 Elsevier B.V.
Keywords
- Characterization of probability distributions
- Convex likelihood ratio
- Gaussian
- Multivariate normal
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