In the field of reliability, a lot has been written on the analysis of phenomena that are related. Estimation of the difference of two population means have been mostly formulated under the no-correlation assumption. However, in many situations, there is a correlation involved. This paper addresses this issue. A sequential estimation method for linearly related lifetime distributions is presented. Estimations for the scale parameters of the exponential distribution are given under square error loss using a sequential prediction method. Optimal stopping rules are discussed using concepts of mean criteria, and numerical results are presented.
Original Publication Citation
Sathish, I. & Diawara, N.(2010). Linear dependency for the difference in exponential regression. Involve 3(2) 215 - 222. https://doi.org/10.2140/involve.2010.3.215
Sathish, Indika and Diawara, Norou, "Linear Dependency for the Difference in Exponential Regression" (2010). Mathematics & Statistics Faculty Publications. 204.