计算物理 ›› 1992, Vol. 9 ›› Issue (S2): 778-784.

• 论文 • 上一篇    下一篇

抽样对极值分布参数似然估计的影响

董双林   

  1. 北京应用气象研究所, 北京 100081
  • 收稿日期:1992-03-21 出版日期:1992-12-31 发布日期:1992-12-31

THE IMPACT OF SAMPLING TO LIKELIHOOD ESTIMATION OF EXTREME DISTRIBUTIONAL PARAMETERS

Dong Shuanglin   

  1. Beijing Applied Meteorological Institute, 100081
  • Received:1992-03-21 Online:1992-12-31 Published:1992-12-31

摘要: 本文指出不同抽样时极值分布参数似然估计的误差明显不同,其差别随样本量减小而增大。提出了估计误差近于零的漂亮抽样方法,提出了较符合实际观测样本的最可几抽样方法。两种抽样的差别说明要提高小样本的极大似然估计精度,需改进极大似然估计方法。使之能适应不同抽样的样本。

关键词: 抽样, 似然估计

Abstract: It is indicated in this paper that errors of extreme distributional parameters by maximum likelihood method are obviously different due to different samplings. The difference of the errors is increasing with decresasing of sample sizes. The "beautiful sampling method" by which estimated errors are likely zero, and "the most probable samlping method" which samples are veridical are debeloped. The difference of the errors of the both sampling methods indicates it is required to improve the maximum likelihood method to improve the estimation precision as small sample sizes.

Key words: sampling, likelihood estimation