MODIFIED MAXIMUM LIKELIHOOD ESTIMATION IN LINEAR FAILURE RATE DISTRIBUTION

by R.R.L.Kantam M.Ch.Priya and M.S.Ravikumar.

Abstract: Some estimation procedures for the linear failure rate distribution (LFRD) are considered. The well known classical method . maximum likelihood (ML) estimation is attempted resulting in iterative solutions as the MLEs of the parameters. Accordingly, attempts may also be necessary to develop other methods of estimation for LFRD parameters that are reasonably efficient and computationally simple/analytical. We study modified ML estimation to estimate LFRD parameters and compare with exact MLEs in small as well as large samples

Key Words: Linear Failure Rate Distribution, MLE, Modified MLE, Simulation Study

Authors:
R.R.L.Kantam, kantam.rrl@gmail.com
M.Ch.Priya, chaitanya.metlapalli@gmail.com
M.S.Ravikumar, msrk.raama@gmail.com

Editor: Ashour, S. Kamel, ashoursamir@hotmail.com

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