Results 31 to 40 of about 133,200 (254)
Bivariate Discrete Poisson–Lindley Distributions
Two families of bivariate discrete Poisson-Lindley distributions are introduced. The first is derived by mixing the common parameter in a bivariate Poisson distribution by different models of univariate continuous Lindley distributions. The second is obtained by generalizing a bivariate binomial distribution with respect to its exponent when it follows
H. Papageorgiou, Maria Vardaki
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A tri‐culture of iPSC‐derived neurons, astrocytes, and microglia treated with ferroptosis inducers as an Induced ferroptosis model was characterized by scRNA‐seq, cell survival, and cytokine release assays. This analysis revealed diverse microglial transcriptomic changes, indicating that the system captures key aspects of the complex cellular ...
Hongmei Lisa Li +6 more
wiley +1 more source
A weighted negative binomial Lindley distribution with applications to dispersed data
A new discrete distribution is introduced. The distribution involves the negative binomial and size biased negative binomial distributions as sub-models among others and it is a weighted version of the two parameter discrete Lindley distribution.
HASSAN S BAKOUCH
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Generalised discretisation of continuous-time distributions
In this study, the definition of discretisation that was proposed recently for continuous-time distributions is made applicable not only to ordinary functions but to a variety of distributions including weak derivatives such that they could be viewed ...
Shin Kawai, Noriyuki Hori, Noriyuki Hori
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Fast and Accurate Learning When Making Discrete Numerical Estimates. [PDF]
Many everyday estimation tasks have an inherently discrete nature, whether the task is counting objects (e.g., a number of paint buckets) or estimating discretized continuous variables (e.g., the number of paint buckets needed to paint a room).
Adam N Sanborn, Ulrik R Beierholm
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This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Computation of Compact Distributions of Discrete Elements
In our daily lives, many plane patterns can actually be regarded as a compact distribution of a number of elements with certain shapes, like the classic pattern mosaic.
Jie Chen, Gang Yang, Meng Yang
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Evolutionarily divergent DUF4465 domains have a common vitamin B12‐binding function
We show that DUF4465 family proteins, widespread across bacteria from gut microbiomes, hydrothermal vents, and soil, share a common vitamin B12‐binding function. These augmented β‐jellyroll proteins bind vitamin B12 via extended loops. Our findings establish sequence‐diverse DUF4465 proteins as a widespread class of B12‐binding proteins, highlighting ...
Charlea Clarke +4 more
wiley +1 more source
Extensions of Katz-Panjer families of discrete distributions
Let Nα, β, γ be a discrete random variable whose probability atoms {pn }n∈N satisfy f(n+1) f(n) = α + β E(U n 0 ) E(U n γ ) , n= 0, 1, ..., for some α, β ∈ R, where Uγ ⌢Uniform(γ, 1), γ ∈ (−1, 1].
Dinis D. Pestana , Sílvio F. Velosa
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A New Discrete Analog of the Continuous Lindley Distribution, with Reliability Applications
In this paper, we propose and study a new probability mass function by creating a natural discrete analog to the continuous Lindley distribution as a mixture of geometric and negative binomial distributions.
Abdulhakim A. Al-Babtain +2 more
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