scholarly journals Generalised Smooth Tests of Goodness of Fit Utilising L-moments

2015 ◽  
Vol 57 (4) ◽  
pp. 481-499
Author(s):  
O. Thas ◽  
J.C.W. Rayner ◽  
J. De Neve
Keyword(s):  
Goodness Of Fit ◽  
Smooth Tests ◽  
L Moments

Smooth tests of goodness of fit for regular distributions

1988 ◽  
Vol 17 (10) ◽  
pp. 3235-3267 ◽  
Author(s):  
J.C.W. Rayner ◽  
D.J. Best
Keyword(s):  
Goodness Of Fit ◽  
Smooth Tests

Smooth Tests of Goodness of Fit

2009 ◽  
Author(s):  
J. C. W. Rayner ◽  
O. Thas ◽  
D. J. Best
Keyword(s):  
Goodness Of Fit ◽  
Smooth Tests

Smooth tests of goodness of fit

2011 ◽  
Vol 3 (5) ◽  
pp. 397-406 ◽  
Author(s):  
J. C. W. Rayner ◽  
O. Thas ◽  
D. J. Best
Keyword(s):  
Goodness Of Fit ◽  
Smooth Tests

scholarly journals Generalised Smooth Tests of Goodness of Fit

2009 ◽  
Vol 3 (3) ◽  
pp. 665-679 ◽  
Author(s):  
J. C. W. Rayner ◽  
D. J. Best ◽  
O. Thas
Keyword(s):  
Goodness Of Fit ◽  
Smooth Tests

Smooth Tests of Goodness of Fit: An Overview

1990 ◽  
Vol 58 (1) ◽  
pp. 9 ◽  
Author(s):  
J. C. W. Rayner ◽  
D. J. Best
Keyword(s):  
Goodness Of Fit ◽  
Smooth Tests

scholarly journals Probability distribution of flood flows in Tunisia

2008 ◽  
Vol 12 (3) ◽  
pp. 703-714 ◽  
Author(s):  
H. Abida ◽  
M. Ellouze
Keyword(s):  
Goodness Of Fit ◽  
Flood Frequency ◽  
Northern Tunisia ◽  
Frequency Distributions ◽  
Generalized Pareto ◽  
Southern Tunisia ◽  
Pearson Type ◽  
L Moments ◽  
Homogeneous Regions ◽  
Best Fit

Abstract. L (Linear) moments are used in identifying regional flood frequency distributions for different zones Tunisia wide. 1134 site-years of annual maximum stream flow data from a total of 42 stations with an average record length of 27 years are considered. The country is divided into two homogeneous regions (northern and central/southern Tunisia) using a heterogeneity measure, based on the spread of the sample L-moments among the sites in a given region. Then, selection of the corresponding distribution is achieved through goodness-of-fit comparisons in L-moment diagrams and verified using an L moment based regional test that compares observed to theoretical values of L-skewness and L-kurtosis for various candidate distributions. The distributions used, which represent five of the most frequently used distributions in the analysis of hydrologic extreme variables are: (i) Generalized Extreme Value (GEV), (ii) Pearson Type III (P3), (iii) Generalized Logistic (GLO), (iv) Generalized Normal (GN), and (v) Generalized Pareto (GPA) distributions. Spatial trends, with respect to the best-fit flood frequency distribution, are distinguished: Northern Tunisia was shown to be represented by the GNO distribution while the GNO and GEV distributions give the best fit in central/southern Tunisia.

Smooth Tests of Goodness of Fit.

Biometrics ◽  
1991 ◽  
Vol 47 (2) ◽  
pp. 788
Author(s):  
A. W. Kemp ◽  
J. C. W. Rayner ◽  
D. J. Best
Keyword(s):  
Goodness Of Fit ◽  
Smooth Tests

scholarly journals Gaussian Analysis of the CMB with the Smooth Tests of Goodness of Fit

2007 ◽  
pp. 177-184 ◽  
Author(s):  
R. B. Barreiro ◽  
J. A. Rubiño-Martín ◽  
E. Martínez-González
Keyword(s):  
Goodness Of Fit ◽  
Smooth Tests ◽  
Gaussian Analysis
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