Article ID: | iaor200969517 |
Country: | United States |
Volume: | 55 |
Issue: | 3 |
Start Page Number: | 252 |
End Page Number: | 264 |
Publication Date: | Apr 2008 |
Journal: | Naval Research Logistics |
Authors: | Lan Yingjie, Leemis Lawrence M |
Keywords: | survival analysis |
For various parameter combinations, the logistic-exponential survival distribution belongs to four common classes of survival distributions: increasing failure rate, decreasing failure rate, bathtub-shaped failure rate, and upside-down bathtub-shaped failure rate. Graphical comparison of this new distribution with other common survival distributions is seen in a plot of the skewness versus the coefficient of variation. The distribution can be used as a survival model or as a device to determine the distribution class from which a particular data set is drawn. As the three-parameter version is less mathematically tractable, our major results concern the two-parameter version. Boundaries for the maximum likelihood estimators of the parameters are derived in this article. Also, a fixed-point method to find the maximum likelihood estimators for complete and censored data sets has been developed. The two-parameter and the three-parameter versions of the logistic-exponential distribution are applied to two real-life data sets.