Confidence intervals for the mean of lognormal data with excess zeros.
In this paper, we consider an approach based on the adjusted signed log-likelihood ratio statistic for constructing a confidence interval for the mean of lognormal data with excess zeros. An extensive simulation study suggests that the proposed approach outperforms all the existing methods in terms of coverage probabilities and symmetry of upper and lower tail error probabilities. Finally, we analyzed two real-life datasets using the proposed approach.
Tian
Lili
L
Department of Statistics, Biostatistics Division, University of Florida, Gainesville 32610, USA. ltian@biostat.ufl.edu
Wu
Jianrong
J
D000465:Algorithms; D001699:Biometry / Q000379:methods*; D003198:Computer Simulation; D016001:Confidence Intervals; D003627:Data Interpretation, Statistical; D016013:Likelihood Functions; D016015:Logistic Models; D015233:Models, Statistical; D009716:Numerical Analysis, Computer-Assisted; D016008:Statistical Distributions