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Fiducial Generalized Confidence Intervals for the Common Mean of K Normal Populations (2004)
| Content Provider | CiteSeerX |
|---|---|
| Author | Patterson, Paul Hannig, Jan Iyer, Hari |
| Abstract | i), i = 1,..., k. We consider construction of a confi-dence interval for the common mean µ of these k populations. We propose two new confidence interval methods based on two different fiducial generalized pivotal quantities. These methods are known to yield asymptotically correct confidence intervals. Small sample performance of these methods is evaluated by Monte Carlo simulation and compared with an exact method based on R. A. Fisher’s proposal for combining P-values from independent tests. Both of the generalized confidence interval methods have satisfactory small sample coverage properties and are more efficient than the exact method. |
| File Format | |
| Language | English |
| Publisher Date | 2004-01-01 |
| Access Restriction | Open |
| Subject Keyword | Common Mean Normal Population Fiducial Generalized Confidence Interval Exact Method Pivotal Quantity Confi-dence Interval New Confidence Interval Method Monte Carlo Simulation Independent Test Small Sample Coverage Property Correct Confidence Interval Generalized Confidence Interval Method Small Sample Performance |
| Content Type | Text |
| Resource Type | Technical Report |
