Bayesian quantile regression and statistical modelling represent a growing paradigm in contemporary data analysis, extending conventional regression by estimating various conditional quantiles rather ...
The least squares estimation of parameters in algebraically implicit, nonlinear, multiple response models having only one experimentally accessible response variable is treated within the context of a ...
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