Likelihood-based inference for power distributions
| Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
|---|---|
| Data(s) |
05/11/2013
05/11/2013
2012
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| Resumo |
This paper considers likelihood-based inference for the family of power distributions. Widely applicable results are presented which can be used to conduct inference for all three parameters of the general location-scale extension of the family. More specific results are given for the special case of the power normal model. The analysis of a large data set, formed from density measurements for a certain type of pollen, illustrates the application of the family and the results for likelihood-based inference. Throughout, comparisons are made with analogous results for the direct parametrisation of the skew-normal distribution. Spanish Ministry of Science and Education [MTM2009-07302] Spanish Ministry of Education and Science Junta de Extremadura Junta de Extremadura [PRI08A094] FONDECYT [1090411] FONDECYT CNPq (Brasil) CNPq-Brasil |
| Identificador |
TEST, NEW YORK, v. 21, n. 4, supl. 1, Part 1, pp. 775-789, DEC, 2012 1133-0686 http://www.producao.usp.br/handle/BDPI/41719 10.1007/s11749-011-0280-0 |
| Idioma(s) |
eng |
| Publicador |
SPRINGER NEW YORK |
| Relação |
TEST |
| Direitos |
restrictedAccess Copyright SPRINGER |
| Palavras-Chave | #GENERALISED GAUSSIAN DISTRIBUTION #KURTOSIS #LEHMANN ALTERNATIVES #POWER NORMAL MODEL #SKEW-NORMAL DISTRIBUTION #SKEWNESS #SKEW-NORMAL DISTRIBUTION #ORDER-STATISTICS #STATISTICS & PROBABILITY |
| Tipo |
article original article publishedVersion |
