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http://dx.doi.org/10.4134/CKMS.2004.19.1.169

ESTIMATION OF THE DISTRIBUTION FUNCTION FOR STATIONARY RANDOM FIELDS OF ASSOCIATED PROCESSES  

Kim, Tae-Sung (Division of Mathematics and Informational Statistics and Instituted of Basic Natural Science WonKwang University)
Ko, Mi-Hwa (Statistical Research Center for Complex Systems Seoul National University)
Yoo, Yeon-Sun (Division of Mathematics and Informational Statistics and Instituted of Basic Natural Science WonKwang University)
Publication Information
Communications of the Korean Mathematical Society / v.19, no.1, 2004 , pp. 169-177 More about this Journal
Abstract
For a stationary field $\{X_{\b{j}},\b{j}{\;}\in{\;}{\mathbb{Z}}^d_{+}\}$ of associated random variables with distribution function $F(x)\;=\;P(X_{\b{1}}\;{\leq}\;x)$ we study strong consistency and asymptotic normality of the empirical distribution function, which is proposed as an estimator for F(x). We also consider strong consistency and asymptotic normality of the empirical survival function by applying these results.
Keywords
empirical distribution function; associated; random field; asymptotic normality; estimator; survival function;
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