@article{MAKHILLJMMS20137528195,
    title = {Optimum Plan for Step-Stress Accelerated Life Testing Model under Type-I Censored Samples},
    journal = {Journal of Modern Mathematics and Statistics},
    volume = {7},
    number = {5},
    pages = {58-62},
    year = {2013},
    issn = {1994-5388},
    doi = {jmmstat.2013.58.62},
    url = {https://makhillpublications.co/view-article.php?issn=1994-5388&doi=jmmstat.2013.58.62},
    author = {N. and},
    keywords = {Accelerated life testing,asymptotic variance,cumulative exposure model,fisher information matrix,Lomax distribution,maximum likelihood function},
    abstract = {A simple step-stress accelerated life test plan is developed 
  for two parameters Lomax distribution under type-I censoring. The scale parameter 
  of the lifetime distribution at any constant stress level is assumed to be a 
  log linear function of the stress level. The maximum likelihood function is 
  derived for step-stress accelerated life testing model with type-I censoring. 
  The Fisher information matrix and the asymptotic variance are obtained. The 
  optimum plan is proposed by minimizing the asymptotic variance of the maximum 
  likelihood estimators of the mean life at a specified design stress with respect 
  to stress change time. A numerical study, is carried out to justify the proposed 
  optimum plan based on the simulated data and the confidence interval of the 
  model parameters that based on asymptotic normality of the maximum likelihood 
  estimates are also obtained.}
    }