Computation Approaches for Parameter Estimation of Weibull Distribution

This paper examines the estimation comparison of two methods for Weibull parameters, one is the maximum likelihood method and the other is the least squares method. A numerical simulation study is carried out to understand performance of the two methods. Based on sample root mean square errors, we make a comparison between the two computation approaches. We find that the least squares method significantly outperforms the maximum likelihood when the sample size is small

Comparison on five estimation approaches of intensity for a queueing system with short run

Bayesian bootstrap, Bias-corrected and accelerated bootstrap, Coverage percentage, Percentile bootstrap, Relative coverage, Slutsky’s theorem, Standard bootstrap,

Notes of M/G/1 system under the ⟨p,T⟩{\langle p, T \rangle} policy with second optional service

Control, Cost, Optimization, Optional service,