Browsing by Author "Nadarajah, Saralees"
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A note on "Double bounded Kumaraswamy-power series class of distributions"
Pogány, Tibor K.; Nadarajah, Saralees (Institut d'Estadística de Catalunya, 2015-12)
Article
Open AccessIn a recent edition of SORT, Bidram and Nekoukhou proposed a novel class of distributions and derived its mathematical properties. Several of the mathematical properties are expressed as single infinite sums or double ... -
Compound distributions motivated by linear failure rate
Gitifar, Narjes; Rezaei, Sadegh; Nadarajah, Saralees (Institut d'Estadística de Catalunya, 2016-06-17)
Article
Open AccessMotivated by three failure data sets (lifetime of patients, failure time of hard drives and failure timeof a product), we introduce three different three-parameter distributions, study basic mathematical properties, address ... -
Information matrices for some elliptically symmetric distributions
Nadarajah, Saralees; Kotz, Samuel (Institut d'Estadística de Catalunya, 2005)
Article
Open AccessThe Fisher information matrices are derived for three of the most popular elliptically symmetric distributions: the Pearson type II, Pearson type VII and the Kotz type distributions. We hope the results could be important ... -
Muliere and Scarsini's bivariate Pareto distribution: sums, products, and ratios
Nadarajah, Saralees; Kotz, Samuel (Institut d'Estadística de Catalunya, 2005)
Article
Open AccessHolaWe derive the exact distributions of R = X +Y , P = X Y andW = X/(X +Y ) and the corresponding moment properties when X and Y follow Muliere and Scarsini’s bivariate Pareto distribution. The expressions turn out to ... -
The new class of Kummer beta generalized distributions
Pescim, R. R.; Cordeiro, G. M.; Demétrio, Clarice G.B.; Ortega, E. M. M.; Nadarajah, Saralees (Institut d'Estadística de Catalunya, 2012)
Article
Open AccessNg and Kotz (1995) introduced a distribution that provides g reater flexibility to extremes. We define and study a new class of distributions called the Kummer beta generalized family to extend the normal, Weibull, ...