Nonlinear Regression with Censored Data

  • Shin, D.W. (Dealim Industrial Co. Ltd.) ;
  • Bai, D.S. (Korea Advanced Institute of Science and Technology)
  • Published : 1983.06.01

Abstract

An algorithm based on EM procedure which finds maximum likelihood estimators in a nonlinear regression with censored data is proposed, and asymptotic properties of the estimator are investigated in detail. Some numerical examples are also given.

Keywords