Description Usage Arguments Value Author(s) References See Also Examples
Mean, variance, skewness and kurtosis for the Birnbaum-Saunders model based on Skew-Normal distribution defined in Filidor et. al (2011).
1 2 3 4 |
alpha |
shape parameter α. |
beta |
scale parameter β. |
lambda |
skewness parameter λ. |
meanbssn
gives the mean, varbssn
gives the variance, skewbssn
gives the skewness, kurtbssn
gives the kurtosis.
Rocio Maehara rmaeharaa@gmail.com and Luis Benites lbenitesanchez@gmail.com
Vilca, Filidor; Santana, L. R.; Leiva, Victor; Balakrishnan, N. (2011). Estimation of extreme percentiles in Birnbaum Saunders distributions. Computational Statistics & Data Analysis (Print), 55, 1665-1678.
Santana, Lucia; Vilca, Filidor; Leiva, Victor (2011). Influence analysis in skew-Birnbaum Saunders regression models and applications. Journal of Applied Statistics, 38, 1633-1649.
bssn
, EMbssn
, momentsbssn
, ozone
, reliabilitybssn
1 2 3 4 5 6 | ## Let's compute some moments for a Birnbaum-Saunders model based on Skew normal Distribution.
# The well known mean, variance, skewness and kurtosis
meanbssn(alpha=0.5,beta=1,lambda=1.5)
varbssn(alpha=0.5,beta=1,lambda=1.5)
skewbssn(alpha=0.5,beta=1,lambda=1.5)
kurtbssn(alpha=0.5,beta=1,lambda=1.5)
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