6533b85bfe1ef96bd12bb39a
RESEARCH PRODUCT
Unacceptable implications of the left haar measure in a standard normal theory inference problem
Jose M Bernardosubject
Statistics and ProbabilityNormal distributionStatisticsPrior probabilityInferenceHaarStatistics Probability and UncertaintyInvariant (mathematics)Standard normal tableMeasure (mathematics)MathematicsHaar measuredescription
For a very common statistical problem, inference about the mean of a normal random variable, some inadmissible consequences of the left Haar invariant prior measure, which is that recommended as a suitable prior by Jeffreys’ multivariate rule and by the methods of Villegas and Kashyap, are uncovered and investigated.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 1978-10-01 | Trabajos de Estadistica Y de Investigacion Operativa |