Abstract
This paper considers the problems of confidence interval estimation and hypothesis testing for the mean of zero-inflated lognormal data. We present an unified novel approach based on the concepts of generalized test variables and generalized pivotal quantities. Simulation results demonstrate that the coverage accuracy of proposed confidence intervals and the type I error control of the proposed exact tests are satisfactory.
| Original language | English |
|---|---|
| Pages (from-to) | 3223-3232 |
| Number of pages | 10 |
| Journal | Statistics in Medicine |
| Volume | 24 |
| Issue number | 20 |
| DOIs | |
| State | Published - Oct 30 2005 |
Keywords
- Generalized confidence intervals
- Generalized P-values
- Power
- Skewed distribution
- Type 1 error control
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