Smooth Tests of Fit for Gaussian Mixtures

Author(s):  
Thomas Suesse ◽  
John Rayner ◽  
Olivier Thas
2008 ◽  
Vol 2008 ◽  
pp. 1-8 ◽  
Author(s):  
D. J. Best ◽  
J. C. W. Rayner ◽  
O. Thas

Smooth tests for the logarithmic distribution are compared with three tests: the first is a test due to Epps and is based on a probability generating function, the second is the Anderson-Darling test, and the third is due to Klar and is based on the empirical integrated distribution function. These tests all have substantially better power than the traditional Pearson-Fisher X2 test of fit for the logarithmic. These traditional chi-squared tests are the only logarithmic tests of fit commonly applied by ecologists and other scientists.


Stats ◽  
2018 ◽  
Vol 1 (1) ◽  
pp. 92-97
Author(s):  
D. Best ◽  
J. Rayner

We consider the little-known one parameter Lindley distribution. This distribution may be of interest as it appears to be more flexible than the exponential distribution, the Lindley fitting more data than the exponential. We give smooth tests of fit for this distribution. The smooth test for the Lindley has power comparable with the Anderson-Darling test. Advantages of the smooth test are discussed. Examples that illustrate the flexibility of this distributions is given.


Statistics ◽  
1990 ◽  
Vol 21 (4) ◽  
pp. 549-568 ◽  
Author(s):  
Tadeusz Inglot ◽  
Tekesa Jurlewicz ◽  
Teresa Ledwina
Keyword(s):  

Metrika ◽  
2000 ◽  
Vol 52 (3) ◽  
pp. 237-252 ◽  
Author(s):  
Bernhard Klar
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document