R. Calabria and G. Pulcini, “On the Maximum Likelihood and Least-Squares Estimation in the Inverse Weibull Distributions,” Statistica Applicata, Vol. 2, No. 1, 1990, pp. 53-66.

has been cited by the following article:

• TITLE: Record Values from the Inverse Weibull Lifetime Model: Different Methods of Estimation

  AUTHORS: Khalaf S. Sultan

  KEYWORDS: Scale Parameter, Location Parameter, Best Linear Unbiased Estimates (BLUEs), Maximum Likelihood Estimates, Relative Efficiency and Monte Carlo Simulations

  JOURNAL NAME: Intelligent Information Management, Vol.2 No.11, November 30, 2010

  ABSTRACT: In this paper, we use the lower record values from the inverse Weibull distribution (IWD) to develop and discuss different methods of estimation in two different cases, 1) when the shape parameter is known and 2) when both of the shape and scale parameters are unknown. First, we derive the best linear unbiased estimate (BLUE) of the scale parameter of the IWD. To compare the different methods of estimation, we present the results of Sultan (2007) for calculating the best linear unbiased estimates (BLUEs) of the location and scale parameters of IWD. Second, we derive the maximum likelihood estimates (MLEs) of the location and scale parameters. Further, we discuss some properties of the MLEs of the location and scale parameters. To compare the different estimates we calculate the relative efficiency between the obtained estimates. Finally, we propose some numerical illustrations by using Monte Carlo simulations and apply the findings of the paper to some simulated data.