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In [4], Zhou calculated spectral norms for circulant matrices with binomial coefficients combined with Fibonacci and Lucas number entries.
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Multivariable generalized linear models using generalized estimating equations (GEE) with binomial distribution, log link function and autoregressive of first order (AR(1)) as working correlation matrices were then used to estimate rate ratios (RR) by race/ethnicity with 95% confidence intervals (CI).
We introduce the subSeq R package, which instead subsamples sequencing reads with binomial sampling after they have been matched to genes and assembled into a count matrix.
With binomial expansion, we have (32).
In [3], Zhou et al. gave the spectral norms of circulant-type matrices involving binomial coefficients and harmonic numbers.
We used a generalized linear mixed model (GLMM) with binomial errors and a logit-link function.
Descriptive analyses were conducted with binomial 95% confidence intervals where appropriate.
This information is one of randomly occurring coupling strength with binomial distribution.
In [11], some new properties of Lucas numbers with binomial coefficients are given.
Models were generated for 79 bird species in South-western Spain using Generalised Additive Models (GAMs) with binomial errors and logit link.
In turn, this result is associated with binomial p<0.001.
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