It is a well-known result (which can be traced back to Gauss) that the only translation family of probability densities on \(\mathbb{R}\) for which the arithmetic mean is a maximum likelihood estimate of the translation parameter originates from the normal density. We generalize this characterizatio
Certain Characterizations of Normal Distribution via Transformations
β Scribed by G.G. Hamedani; Hans Volkmer
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 109 KB
- Volume
- 77
- Category
- Article
- ISSN
- 0047-259X
No coin nor oath required. For personal study only.
β¦ Synopsis
It is well known that i.i.d. (independent and identically distributed) normal random variables are transformed into i.i.d. normal random variables by any orthogonal transformation. Less well known are nonlinear transformations with the above-mentioned property. In this work we present nonlinear transformations preserving normality, which are more general than the existing ones in the literature.
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