The S-PLUS library HOA implements several of the most promising higher-order solutions for three widely used model classes: logistic and logliner models, linear nonnormal and nonlinear heteroscedastic regression models. This contribution discusses how it is possible to implement efficiently small-sample asymptotics in a numerical computing environment.
Higher-Order Asymptotics in Practice
BRAZZALE, ALESSANDRA ROSALBA
2000
Abstract
The S-PLUS library HOA implements several of the most promising higher-order solutions for three widely used model classes: logistic and logliner models, linear nonnormal and nonlinear heteroscedastic regression models. This contribution discusses how it is possible to implement efficiently small-sample asymptotics in a numerical computing environment.File in questo prodotto:
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