MODIFIED GOODNESS-OF-FIT TESTS FOR GAMMA DISTRIBUTIONS WITH UNKNOWN LOCATION AND SCALE PARAMETERS.

被引:0
|
作者
Woodruff, Brian W. [1 ]
Viviano, Philip J. [1 ]
Moore, Albert H. [1 ]
Dunne, Edward J. [1 ]
机构
[1] US Air Force Inst of Technology, Dep, of Mathematics, Wright-Patterson, AFB, OH, USA, US Air Force Inst of Technology, Dep of Mathematics, Wright-Patterson AFB, OH, USA
关键词
MATHEMATICAL STATISTICS - Monte Carlo Methods;
D O I
暂无
中图分类号
O21 [概率论与数理统计];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The common Kolmogorov-Smirnov, Anderson-Darling, and Cramer-von Mises goodness-of-fit tests require continuous underlying distributions with known parameters. This paper gives tables of critical values for these tests for gamma distributions with unknown location and scale parameters and known shape parameters. The powers of these tests are given for a number of alternative distributions. A relation between the critical values and the inverse square of the shape parameter is presented.
引用
收藏
页码:241 / 245
相关论文
共 50 条