Citation

Tian L, Wu J. Biom. J. 2007; 49(6): 944-951.

Affiliation

Department of Biostatistics, University at Buffalo, 249 Farber Hall, 3435 Main St. Bldg. 26, Buffalo, NY 142 14, USA. ltian@buffalo.edu

Copyright

(Copyright © 2007, John Wiley and Sons)

DOI

10.1002/bimj.200710391

PMID

18058995

Abstract

This paper proposes a novel approach for the confidence interval estimation and hypothesis testing of the common mean of several log-normal populations using the concept of generalized variable. Simulation studies demonstrate that the proposed approach can provide confidence intervals with satisfying coverage probabilities and can perform hypothesis testing with satisfying type-I error control even at small sample sizes. Overall, it is superior to the large sample approach. The proposed method is illustrated using two examples.

Language: en