Asymptotic normality of generalized maximum spacing estimators for multivariate observations

التفاصيل البيبلوغرافية
العنوان: Asymptotic normality of generalized maximum spacing estimators for multivariate observations
المؤلفون: Kuljus, Kristi, Ranneby, Bo
سنة النشر: 2019
المجموعة: Mathematics
Statistics
مصطلحات موضوعية: Mathematics - Statistics Theory
الوصف: In this paper, the maximum spacing method is considered for multivariate observations. Nearest neighbour balls are used as a multidimensional analogue to univariate spacings. A class of information-type measures is used to generalize the concept of maximum spacing estimators. Asymptotic normality of these generalized maximum spacing estimators is proved when the assigned model class is correct, that is the true density is a member of the model class.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/1904.08625
رقم الأكسشن: edsarx.1904.08625
قاعدة البيانات: arXiv