Simple and accurate inference for the mean of the gamma model

被引:23
作者
Fraser, DAS
Reid, N
Wong, A
机构
[1] UNIV TORONTO,DEPT STAT,TORONTO,ON M5S 3G3,CANADA
[2] YORK UNIV,DEPT MATH & STAT,N YORK,ON M3J 1P3,CANADA
来源
CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE | 1997年 / 25卷 / 01期
关键词
asymptotic approximation; averaging; canonical parameter; conditional likelihood; exponential model; location model; saddlepoint approximation; significance function; third-order approximation;
D O I
10.2307/3315359
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The two-parameter gamma model is widely used in reliability, environmental, medical and other areas of statistics. It has a two-dimensional sufficient statistic, and a two-dimensional parameter which can be taken to describe shape and mean. This makes it closely comparable to the normal model, but it differs substantially in that the exact distribution for the minimal sufficient statistic is not available. Some recently developed asymptotic theory is used to derive an approximation for observed levels of significance and confidence intervals for the mean parameter of the model. The approximation is as easy to apply as first-order methods, and substantially more accurate.
引用
收藏
页码:91 / 99
页数:9
相关论文
共 16 条