Multiple constraint and truncated skew models
| Autor: | Juan F. Olivares-Pacheco, Héctor W. Gómez, Barry C. Arnold |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Statistics and Probability
Set (abstract data type) Combinatorics Constraint (information theory) Distribution (mathematics) Truncated normal distribution Skew Applied mathematics Truncation (statistics) Extension (predicate logic) Statistics Probability and Uncertainty Truncated distribution Mathematics |
| Zdroj: | STATISTICS (BERLIN) Artículos CONICYT CONICYT Chile instacron:CONICYT |
| Popis: | Attention is focussed on a truncated version of the extended two-piece skew-normal distribution, studied by Arnold et al. [On multiple constraint skewed models. Statistics. 2009;3(3):279–293]. When the truncation point is set equal to zero, the resulting model can be viewed as a flexible extension of the half-normal model. Properties of the truncated distribution are investigated and corresponding likelihood inference is considered. The methodology is applied to data set involving non-negative observations and it is verified that the fit of the truncated model compares favourably with that of the half-normal. |
| Databáze: | OpenAIRE |
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