2022
DOI: 10.28951/bjb.v40i3.571
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The Zero, One and Zero-and-One-Inflated New Unit-Lindley Distributions

Abstract: In this paper, we propose the zero, one and zero-and-one-inflated New unit-Lindley distributions as natural extensions of the New unit-Lindley distribution to model continuous responses measured at the following intervals [0, 1), (0, 1] and [0, 1]. They were constructed based on convex combinations between the New unit-Lindley distribution and the distributions degenerate at zero, one, and Bernoulli distribution. They also have a number of interesting properties, such as being members of the exponential family… Show more

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Cited by 4 publications
(4 citation statements)
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“…The data obtained in the analyses were subjected to analysis of variance, where the means were compared using the Scott – Knott test with a significance level of 5 % using Sisvar, version 5.7 [32] . Statistica version 13.3 (StatSoft, Tulsa, OK, USA) was used for principal component analysis (PCA).…”
Section: Methodsmentioning
confidence: 99%
“…The data obtained in the analyses were subjected to analysis of variance, where the means were compared using the Scott – Knott test with a significance level of 5 % using Sisvar, version 5.7 [32] . Statistica version 13.3 (StatSoft, Tulsa, OK, USA) was used for principal component analysis (PCA).…”
Section: Methodsmentioning
confidence: 99%
“…Mazucheli et al [15] use this representation in the Lindley distribution, obtaining a distribution called New Unit-Lindley (NUL). Applications of the NUL distribution are given in Ferreira and Mazucheli [18] and Alrumayh et al [19], among others.…”
Section: Stochastic Representationmentioning
confidence: 99%
“…These models describe data with support in unit intervals and are often obtained by applying transformations to random variables. These include the unit-Burr III [10,11], unit-Lindley [12], unit-Gompertz [13], unit-Burr XII [14], unit inverse Gaussian [15], the arcsecant hyperbolic normal model [16], and logit slash [17], to name a few, as well as some new families of distributions [18,19].…”
Section: Introductionmentioning
confidence: 99%