Pages: 1 - 7
Pages: 8 - 24
In this paper, a new distribution called the exponentiated Kumaraswamy inverse Weibull is proposed. This dis-
tribution includes as special cases the inverse exponential, inverseWeibull, inverse Rayleigh and exponentiated
inverse Weibull distributions. We study the main properties of this distribution,...
Pages: 25 - 35
Gamma mixture models have wide applications in hydrology, finance and reliability. Parameter estimation in this
class of models is a challenging task owing to the complexity associated with the model structure. In this paper, a
novel approach is proposed to estimate the parameters of Gamma mixture...
Pages: 36 - 46
This research article is related to a multi-state stress-strength model proposed by Eryilmaz and İşçioğlu (2011).
It deals with (i) demonstration of the use of EM algorithm for the estimation of parameters of distributions
of random variables representing strength and two stress levels. The numerical...
Pages: 47 - 60
In this paper we develop a new family of Weibull-gamma model which is obtained by compounding a q-Weibull
density with a two parameter gamma density. This class can be considered as a natural extension of the Weibull gamma
model which accommodates various other useful statistical models. Properties...
Pages: 61 - 79
We introduce a new four-parameter model called the Gumbel-Lomax distribution arising from the Gumbel-
X generator recently proposed by Al-Aqtash (2013). Its density function can be right-skewed and reversed-J
shaped, and can have decreasing and upside-down bathtub shaped hazard rate....
Pages: 80 - 95
Sihm et al. (2014) introduced modified optional unrelated question RRT model in both binary and quantitative
response situations wherein the prevalence of the sensitive variable and the sensitivity level of the underlying
sensitive question could be estimated simultaneously without using a split sample...
Pages: 96 - 107
We investigate the parametric maximum likelihood estimator for truncated data when the truncation value
is different according to the observed individual or item. We extend Lehmann’s proof (1983) of the
asymptotic properties of the parametric maximum likelihood estimator in the case of independent...