SOME ASYMPTOTIC INFERENCE IN MULTINOMIAL NONLINEAR MODELS (A GEOMETRIC APPROACH) |
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摘 要: | SOMEASYMPTOTICINFERENCEINMULTINOMIALNONLINEARMODELS(AGEOMERICAPPROACH)¥WEIBOCHENG(DepartmentofMathematics,SoutheastUniversity...
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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) |
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Authors: | Wei Bocheng |
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Institution: | (1) Department of Mathematics, Southeast University, 210096 Nanjing |
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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. |
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Keywords: | Curvature array multinomial nonlinear models information loss observed information stochastic expansion variance |
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