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SOME ASYMPTOTIC INFERENCE IN MULTINOMIAL NONLINEAR MODELS (A GEOMETRIC APPROACH)
摘    要:SOMEASYMPTOTICINFERENCEINMULTINOMIALNONLINEARMODELS(AGEOMERICAPPROACH)¥WEIBOCHENG(DepartmentofMathematics,SoutheastUniversity...

关 键 词:渐进线推理  多项式非线性模型  几何逼近  几何构造
收稿时间:15 September 1994

Some asymptotic inference in multinomial nonlinear models (A geometric approach)
Authors:Wei Bocheng
Institution:(1) Department of Mathematics, Southeast University, 210096 Nanjing
Abstract:A geometric framework is proposed for multinomial nonlinear models based on a modified version of the geometric structure presented by Bates & Watts 4]. We use this geometric framework to study some asymptotic inference in terms of curvatures for multinomial nonlinear models. Our previous results 15] for ordinary nonlinear regression models are extended to multinomial nonlinear models.
Keywords:Curvature array  multinomial nonlinear models  information loss  observed information  stochastic expansion  variance  
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