本文利用经验Cressie-Read统计量和广义矩方法,研究了参数、分布函数和Lagrange乘子的有效估计问题,并得到了它们的渐近正态性,证明了经验Cressie-Read统计量具有渐近χ^2分布。最后举例说明文中结果。
In this paper, the efficiency estimators of parameters, the distribution function and Lagrange multipliers are obtained by using empirical Cressie-Read statistics and generalized method of moments, the asymptotic normality results of those estimators are proved. It is also shown that the empirical Cressie-Read statistics are asymptotically χ^2 distribution. Furthermore, two examples are given to illustrate the theoretical results.