Graphical Tools to Assess Goodness-of-Fit in Non-Location-Scale Distributions
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidad Nacional de Colombia
2014
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| _version_ | 1876440368592977920 |
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| author | Claudia Castro-Kuriss |
| author_facet | Claudia Castro-Kuriss |
| contents | Graphical Tools to Assess Goodness-of-Fit in Non-Location-Scale Distributions Claudia Castro-Kuriss Víctor Leiva Emilia Athayde Física, Astronomía y Matemáticas Censored Data Data Analysis Confidence Band Probability Plots Goodness-of-fit (GOF) techniques are used for assessment whether a dis- tribution is suitable to describe a data set or not. These techniques have been studied for distributions belonging to the location-scale family. How- ever, one could be interested in making this assessment for distributions that do not belong to this family. We review the available GOF tests and pro- pose graphical tools based on these tests for censored and uncensored data from non-location-scale distributions. Anderson-Darling, Cramér-von Mises, Kolmogorov-Smirnov, Kuiper, Michael and Watson GOF statistics are con- sidered. We apply the proposed results to real-world data sets to illustrate their potential, with emphasis on some Birnbaum-Saunders distributions. 2014 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89933712007 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.2 Vol.37 |
| format | Artículo científico |
| id | redalyc_89933712007 |
| institution | Redalyc |
| language | en |
| publishDate | 2014 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Graphical Tools to Assess Goodness-of-Fit in Non-Location-Scale Distributions Claudia Castro-Kuriss Física, Astronomía y Matemáticas Censored Data Data Analysis Confidence Band Probability Plots Graphical Tools to Assess Goodness-of-Fit in Non-Location-Scale Distributions Claudia Castro-Kuriss Víctor Leiva Emilia Athayde Física, Astronomía y Matemáticas Censored Data Data Analysis Confidence Band Probability Plots Goodness-of-fit (GOF) techniques are used for assessment whether a dis- tribution is suitable to describe a data set or not. These techniques have been studied for distributions belonging to the location-scale family. How- ever, one could be interested in making this assessment for distributions that do not belong to this family. We review the available GOF tests and pro- pose graphical tools based on these tests for censored and uncensored data from non-location-scale distributions. Anderson-Darling, Cramér-von Mises, Kolmogorov-Smirnov, Kuiper, Michael and Watson GOF statistics are con- sidered. We apply the proposed results to real-world data sets to illustrate their potential, with emphasis on some Birnbaum-Saunders distributions. 2014 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89933712007 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.2 Vol.37 |
| title | Graphical Tools to Assess Goodness-of-Fit in Non-Location-Scale Distributions |
| topic | Física, Astronomía y Matemáticas Censored Data Data Analysis Confidence Band Probability Plots |
| url | https://www.redalyc.org/articulo.oa?id=89933712007 |