The lognormal distribution is widely used to describe the distribution of positive random
variables; in particular, it is used to model data relevant to occupational hygiene and to …

In this paper we conduct a simulation study to evaluate coverage error, interval width and
relative bias of four main methods for the construction of confidence intervals of log‐normal …

In this paper, we consider the problem of interval estimation for the mean of diagnostic test
charges. Diagnostic test charge data may contain zero values, and the nonzero values can …

Biologists often use allometric equations that take the form of power functions (eg,, where M
stands for mass and a and b are empirically fitted constants). Typically, these allometric …

We present 56Ni mass estimates for 110 normal Type II supernovae (SNe II), computed here
from their luminosity in the radioactive tail. This sample consists of SNe from the literature …

In this paper, the problem of interest is efficient estimation of log‐normal means. Several
existing estimators are reviewed first, including the sample mean, the maximum likelihood …

In this paper, we study the inferences of the difference of medians for two independent log-
normal distributions. These methods include traditional methods such as the parametric …

To construct a confidence interval for the mean of a log‐normal distribution in small samples,
we propose likelihood‐based approaches–the signed log‐likelihood ratio and modified …

Among the statistical process control techniques, the control chart has been proven to be
effective in process monitoring. The Shewhart S-chart is one of the most commonly used …

In statistical process control (SPC), the control chart is a quite popular technique to monitor
the process efficacy. From a statistical point of view, the control chart is considered superior …