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Comparative Effectiveness and Safety of Inebilizumab Versus Rituximab in AQP4‐IgG‐Positive NMOSD
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Rituximab (anti‐CD20, RTX) and inebilizumab (anti‐CD19, INE) represent B‐cell‐depleting therapies used for aquaporin‐4 antibody‐positive (AQP4‐IgG+) neuromyelitis optica spectrum disorder (NMOSD); however, direct comparative evidence remains limited.
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Pseudo-cumulative distribution function with applications
Soft Computing, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hamzeh Agahi, Hossein Mehri-Dehnavi
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The Cumulants of the Distribution of the Square of a Variate
Biometrika, 1941Not ...
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Cumulative distribution function of a geometric Poisson distribution
Journal of Statistical Computation and Simulation, 2008The geometric Poisson distribution (also called Polya–Aeppli) is a particular case of the compound Poisson distribution. We propose to express the general term of this distribution through a recurrence formula leading to a linear algorithm for the computation of its cumulative distribution function.
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Multibeam scintillation cumulative distribution function
Optics Letters, 2011The gamma-gamma probability density function is commonly used to model the scintillation of a single laser beam propagating through atmospheric turbulence. One method proposed to reduce scintillation at the receiver plane involves the use of multiple channels propagating through independent paths, resulting in a sum of independent gamma-gamma random ...
Jason A, Tellez, Jason D, Schmidt
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Distributivity and Cumulativity
2017The following four chapters take up the features of quantities of matter that distinguish them from individuals by their mereological structure. This structure is reflected in the character of certain predicates expressing the property of being a particular kind of substance, say water, and exhibiting one or more phases, such as being liquid and being ...
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The Cumulative Distribution Function
1989All of the arithmetic associated with testing in the hyper-geometric distribution and with confidence intervals in the binomial distribution (respectively, Lessons 15, 19, Part I) was based on their CDFs. Here the extension of this latter concept will be made in two steps, one emphasizing the type of function which is “random”, the other emphasizing ...
Hung T. Nguyen, Gerald S. Rogers
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Approximating a Cumulative Distribution Function by Generalized Hyperexponential Distributions
Probability in the Engineering and Informational Sciences, 1997Recent developments in stochastic modeling show that enormous analytical advantages can be gained if a general cumulative distribution function (c.d.f.) can be approximated by generalized hyperexponential distributions. In this paper, we introduce a procedure to explicitly construct such approximations of an arbitrary c.d.f.
Ou, J., Li, J., Özekici, S.
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Distributivity, Collectivity and Cumulativity
2000In the language of plurality introduced in this lecture, we will not yet incorporate a full treatment of verbs. So the language (and the analysis of plurality, in this respect) is poorer than Scha’s. For the moment, we won’t have functional abstraction, and we will have only one-place verbs, which -again for the moment - we will treat in the same way ...
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Deconvolution of Cumulative Distribution Function with Unknown Noise Distribution
Acta Applicandae Mathematicae, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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