Doganaksoy, Necip; Schmee, Josef (2000, ASQ and American Statistical Association) GE Corporate Research and Development, Schenectady, NY; Graduate Management Institute, Union College, Schenectady, NY
The authors congratulate A.C.M. Wong and J. Wu and Shuen-Lin Jeng and William O. Meeker, for their research concerning cutting-edge methods to improve the accuracy of confidence intervals in parametric analysis of censored life data. The methods proposed by these teams are to be accepted by practitioners on the basis of perceived value they add to their analyses. The authors review corrections to log-likelihood ratio (LLR) intervals and the implementation of the statistical methods. They note the ease with which the methods can be understood and used by practitioners. The contributions of Wong-Wu and Jeng-Meeker represent an important contribution to the understanding of Type I censored analysis. The authors state that the work is not complete, however, and recommend an extension of the research to address the areas of progressive censoring, competing risks, accelerated life testing, reliability planning, and test planning in particular.
Statistical design,Censored data,Confidence intervals,Quality improvement (QI),Asymptotics,Approximation,Accuracy and precision,Confidence limits