Goodness-of-fit techniques
IEEE Transactions on Software Engineering
Analytical approximations for real values of the Lambert W-function
Mathematics and Computers in Simulation
Solving parameter estimation problem in new product diffusion models
Applied Mathematics and Computation
Estimation of weibull parameters using a fuzzy least-squares method
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Estimation of parameters of the Makeham distribution using the least squares method
Mathematics and Computers in Simulation
Journal of Computational and Applied Mathematics
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Nonlinear least squares procedures for estimating the parameters of the shifted Gompertz distribution are proposed. Simulation studies are carried out to compare weighted and unweighted least squares methods, the maximum likelihood method and method of moments. This work concludes that least squares methods via weighting factors to estimate the parameters of this probability distribution give a better performance than unweighted least squares methods, showing the importance of weighting factors. Besides, results of this simulation study show that a good performance is obtained using the maximum likelihood method and the estimators obtained with more bias are those of the method of moments.