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The parameters of the failure distribution and maintenance effect of equipment are estimated by maximum likelihood estimation.
Firstly, the parameters of the Wiener process estimated by Maximum Likelihood Estimation (MLE) are proved to be biased, and a modified unbiased estimation method is proposed and verified by derivation and simulations.
The parameters were estimated by maximum likelihood estimation (MLE), using the mle2 function in the bbmle library of R. MLE is a statistical curve fitting approach that has greater flexibility than least-squares regression techniques.
In each iteration, the (complex) reference distribution is approximated using a simple probability distribution; we illustrate the method by using a multinomial distribution, whose parameters are estimated by maximum likelihood estimation in each iteration, using the conformations generated in the previous iteration.
The four parameters of demographic model estimated
Subsequently, the parameters were estimated by maximum likelihood estimation.
The parameters are estimated by maximum likelihood estimation.
The ordinary generalised linear model parameter vector β was estimated by maximum likelihood estimation.
The parameters β = (β0,…, β m ) were estimated by maximum likelihood estimation.
Undetected values were imputed based on a log-normal probability distribution whose parameters were estimated by maximum likelihood estimation.
EPG used in this study consisted only of Cyathostominea spp. The ordinary logistic regression model parameter vector β was estimated by maximum likelihood estimation.
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CEO of Professional Science Editing for Scientists @ prosciediting.com