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.
Atti del Workshop 2 "Probabilità e procedure per l'inferenza statistica e le decisioni"
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11577/181160
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