Data were expressed as mean ± SD, median (interquartile range (IQR)), or number (%). Relationships between parameters were checked for linearity using the Pearson correlation coefficient (r), with a two-tailed analysis of variance. The level of significance was set at p < 0.05. ...
Thalassemia major Patients with thalassemia major have a severe microcytic and hypochromic anemia, associated with increased number of red blood cells and low mean corpuscular volume (MCV) and mean corpuscular Hb (MCH). Peripheral blood smear shows, in ad- dition to microcytosis and hypochromia, ...
This is an open access chapter distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 262 Lipid Metabolism 2. ...
mean (UPGMA) dendrogram generated according to Nei’s hereditary distances. The population structures predicated on major coordinates evaluation (PCoA) therefore the Bayesian model additionally suggested four distinct groups following geographical areas and eight closely related populations. This study provided...
For any fixed mean value, it stops at some variance and cannot go lower (see Fig. 2). Thus, the data that are strongly underdispersed cannot be modelled in such a way. In this paper, we propose a different way of extending the beta-binomial distribution. Our solution allows to obtain ...
We also use optional cookies for advertising, personalisation of content, usage analysis, and social media. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with...
w-function 1 Introduction The beta binomial random variable X with parameters n ∈ N, α > 0, and β > 0 has probabilities n B(x + α, n − x + β) bb(x) = , x = 0, 1, ..., n, x B(α, β) (1.1) and has mean µ = nα α+β and variance σ2 = nαβ(...
The solutions of these two optimization problems constitute a set of mean-variance optimal portfolios, which is a parabola in the mean-variance space and is known as the efficient frontier (see, e.g., Merton 1972; Bodnar and Schmid 2009; Bauder et al. 2019). Several optimal portfolios ...
In fact, this representation is important since complete and incomplete moments, generating function, mean deviations, and reliability are well-known results for the BP distribution. 3.3. Moments We obtain μ s ′ = E ( X s ) . For s < β , we can write from (12) and (3) μ s ...
This corresponds to penalized maximum likelihood estimation of 𝜛, assuming the targets have been corrupted by independent identical probability distribution (i.i.d.) samples from a Gaussian noise process with zeros mean and variance 𝜎2, i.e., 𝑦𝑖=𝑓(𝑥𝑖)+𝜉𝑖,𝜉∈𝑁(0,...