Goodness-of-fit tests for the skew-normal model
02 February 2010

Facolta’ di Scienze  

 Dipartimento di Matematica e Informatica  

  

Martedì 2 febbraio dalle ore 17:00, la Prof.ssa Maria Eugenia Castellanos, Universidad Rey Juan Carlos (Madrid), terrà un seminario di statistica presso l’aula B del Dipartimento di Matematica (Palazzo delle Scienze - Via Ospedale)

 

 

 

Summary. In this talk we present a series of goodness-of-fit tests for the family of skew-normal models when all parameters are unknown. As the null distributions of the considered test statistics depend only on asymmetry parameter, we used a default and proper prior on skewness parameter leading to the prior predictive p-value advocated by G. Box. Goodness-of-fit tests, here proposed, depend only on sample size and exhibit full agreement between nominal and actual size. They also have good power against local alternative models which also account for asymmetry in data. We illustrate how to use our procedure to check the GOF of the SN model to two applications: Frontier data and biomedical measurements, using the R package GOFSN.  More details in Cabras, S. and Castellanos M.E. Journal of Applied Statistics, 36, (2), 223-232.

 

 

 

 

 

Per ulteriori informazioni contattare:

Stefano Cabras

 

Dipartimento di Matematica e Informatica

Via Ospedale, 72 (+39 070/6758516)

s.cabras@unica.it

 

 

 

 

 

 

 

 

 

 

 

 

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