Geodesic
Estimation functions and uniformly most powerful tests for inverse Gaussian distribution
Commentationes Mathematicae Universitatis Carolinae, Tome 44 (2003) no. 1, pp. 153-164 Cet article a éte moissonné depuis la source Czech Digital Mathematics Library

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The aim of this article is to develop estimation functions by confidence regions for the inverse Gaussian distribution with two parameters and to construct tests for hypotheses testing concerning the parameter $\lambda $ when the mean parameter $\mu $ is known. The tests constructed are uniformly most powerful tests and for testing the point null hypothesis it is also unbiased.
The aim of this article is to develop estimation functions by confidence regions for the inverse Gaussian distribution with two parameters and to construct tests for hypotheses testing concerning the parameter $\lambda $ when the mean parameter $\mu $ is known. The tests constructed are uniformly most powerful tests and for testing the point null hypothesis it is also unbiased.
Classification : 62F03, 62F25
Keywords: inverse Gaussian distribution; estimation functions; uniformly most powerful test; unbiased test 
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     author = {Vladimirescu, Ion and Tunaru, Radu},
     title = {Estimation functions and uniformly most powerful tests for inverse {Gaussian} distribution},
     journal = {Commentationes Mathematicae Universitatis Carolinae},
     pages = {153--164},
     year = {2003},
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     zbl = {1127.62314},
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Vladimirescu, Ion; Tunaru, Radu. Estimation functions and uniformly most powerful tests for inverse Gaussian distribution. Commentationes Mathematicae Universitatis Carolinae, Tome 44 (2003) no. 1, pp. 153-164. http://geodesic.mathdoc.fr/item/CMUC_2003_44_1_a11/