In this paper, we build a central limit theorem for triangular arrays of sequences which satisfy a mild mixing condition. This result allows us to study asymptotic normality of density kernel estimators for some classes of continuous and discrete time processes.
β¦ LIBER β¦
A bivariate histogram density estimator: Consistency and asymptotic normality
β Scribed by B.K Kim; J Van Ryzin
- Publisher
- Elsevier Science
- Year
- 1985
- Tongue
- English
- Weight
- 406 KB
- Volume
- 3
- Category
- Article
- ISSN
- 0167-7152
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## Abstract Two general measures for the degree of association in a contingency table are the contingency coefficients defined by PEARSON and KRAMER. In the case of a standardized bivariate normal distribution with correlation coefficient of the variables, whose realizations constitute the rows and