Do components of smooth tests of fit have diagnostic properties?

Metrika ◽  
1997 ◽  
Vol 45 (1) ◽  
pp. 121-130 ◽  
Author(s):  
Norbert Henze
Keyword(s):  
Smooth Tests ◽  
Tests Of Fit ◽  
Diagnostic Properties

scholarly journals Tests of Fit for the Logarithmic Distribution

2008 ◽  
Vol 2008 ◽  
pp. 1-8 ◽  
Author(s):  
D. J. Best ◽  
J. C. W. Rayner ◽  
O. Thas
Keyword(s):  
Distribution Function ◽  
Generating Function ◽  
Probability Generating Function ◽  
Smooth Tests ◽  
The Third ◽  
Chi Squared ◽  
Logarithmic Distribution ◽  
Anderson Darling ◽  
Tests Of Fit ◽  
Integrated Distribution Function

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.

Theory & Methods: Weighted Integral Test Statistics and Components of Smooth Tests of Fit

2000 ◽  
Vol 42 (2) ◽  
pp. 179-192 ◽  
Author(s):  
Ludwig Baringhaus ◽  
Nora Gürtler ◽  
Norbert Henze
Keyword(s):  
Test Statistics ◽  
Integral Test ◽  
Smooth Tests ◽  
Weighted Integral ◽  
Tests Of Fit

Smooth tests of fit for censored gmma samples

1986 ◽  
Vol 15 (2) ◽  
pp. 537-549 ◽  
Author(s):  
Adel I Bargal
Keyword(s):  
Smooth Tests ◽  
Tests Of Fit

scholarly journals Smooth Tests of Fit for the Lindley Distribution

Stats ◽  
2018 ◽  
Vol 1 (1) ◽  
pp. 92-97
Author(s):  
D. Best ◽  
J. Rayner
Keyword(s):  
Exponential Distribution ◽  
Lindley Distribution ◽  
Smooth Tests ◽  
Smooth Test ◽  
Anderson Darling ◽  
Tests Of Fit

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.

PROPERLY RESCALED COMPONENTS OF SMOOTH TESTS OF FIT ARE DIAGNOSTIC

1996 ◽  
Vol 38 (1) ◽  
pp. 61-74 ◽  
Author(s):  
Norbert Henze ◽  
Bernhard Klar
Keyword(s):  
Smooth Tests ◽  
Tests Of Fit

On netman-type smooth tests of fit

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

Diagnostic smooth tests of fit

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

scholarly journals Generalised Smooth Tests for the Generalised Pareto Distribution

2011 ◽  
Vol 5 (4) ◽  
pp. 737-750 ◽  
Author(s):  
B. De Boeck ◽  
O. Thas ◽  
J. C. W. Rayner ◽  
D. J. Best
Keyword(s):  
Pareto Distribution ◽  
Smooth Tests ◽  
Generalised Pareto Distribution
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