On the Kuiper test for normality with mean and variance unknown
暂无分享,去创建一个
Summary A modified form of the Kuiper statistic Vn is developed for testing the composite hypothesis that a sample of size n comes from a normal population with unspecified mean and variance. Its distribution is derived using Monte Carlo methods. Power comparison with the adjusted Kuiper test proposed by Louter and Koerts [6] indicates that our test is superior with respect to certain alternatives.
[1] R. Srinivasan. An approach to testing the goodness of fit of incompletely specified distributions , 1970 .
[2] H. Lilliefors. On the Kolmogorov-Smirnov Test for the Exponential Distribution with Mean Unknown , 1969 .
[3] A. S. Louter,et al. On the Kuiper test for normality with mean and variance unknown , 1970 .
[4] D. Blackwell. Conditional Expectation and Unbiased Sequential Estimation , 1947 .