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Unmanipulated bone marrow infusion without conditioning can rescue <i>RECQL4</i> <sup>-/-</sup> severe combined immunodeficiency. [PDF]
Grier AE +11 more
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Substance use risk and controlled substances discussions in cancer care: Observations from audio-recorded patient-clinician encounters. [PDF]
Yusufov M +6 more
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Trends and Types of Medical Errors Reporting Following the Implementation of Electronic Health Record System. [PDF]
A'aqoulah A +6 more
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The Slash Lindley-Weibull Distribution
Methodology and Computing in Applied Probability, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Reyes, Jimmy +3 more
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Recurrence relations and reliability measures in slash and skew-slash distributions
Studia Scientiarum Mathematicarum Hungarica, 2014In recent years, slash and skew slash distributions have been employed, as flexible models, in various fields. In this paper, we study several properties of these distributions in both univariate and multivariate cases. Some recurrence relations for the probability density functions are derived and the behavior of reliability measures, such as hazard ...
Mehrali, Yaser +2 more
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Slashed power-Lindley distribution
Communications in Statistics - Theory and Methods, 2018In this article, we introduce the slashed power-Lindley distribution. This model can be seen as an extension of the power-Lindley distribution with more flexibility in terms of the kurtosis of dist...
Yuri A. Iriarte, Mario A. Rojas
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Slash distributions, generalized convolutions, and extremes
Annals of the Institute of Statistical Mathematics, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Arendarczyk, M. +2 more
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Tail Dependence of Generalized Modified Skew Slash Distribution
Journal of Statistical Theory and Practice, 2022In the last decades, slash distributions have received broad attention; \textit{W. H. Rogers} and \textit{J. W. Tukey} [Stat. Neerl. 26, No. 3, 211--226 (1972; Zbl 0245.62021)] introduced the slash distribution for data analysis. \textit{O. Arslan} and \textit{A. İ. Genç} [J. Stat. Plann. Inference 139, No. 3, 1164--1170 (2009; Zbl 1157.60304)] studied
Weizhong Tian, Huihui Li, Arjun K. Gupta
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