Results 81 to 90 of about 1,753,804 (330)
STUDENTIZING WEIGHTED SUMS OF LINEAR PROCESSES
This article presents a general method for studentizing weighted sums of a linear process where weights are arrays of known real numbers and innovations form a martingale difference sequence. Asymptotical normality for such sums was established in Abadir et al. (2013). This article centres on the estimation of the standard deviation, to make the normal
Dalla, V, Giraitis, L, Koul, HL
openaire +3 more sources
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source
Weighted Sum of Correlated Lognormals: Convolution Integral Solution [PDF]
Probability density function (pdf) for sum of n correlated lognormal variables is deducted as a special convolution integral. Pdf for weighted sums (where weights can be any real numbers) is also presented.
Nagy, Tamás
core
Bound for the maximal probability in the Littlewood-Offord problem
The paper deals with studying a connection of the Littlewood--Offord problem with estimating the concentration functions of some symmetric infinitely divisible distributions.
Zaitsev, Andrei Yu.
core +1 more source
Fetal Brain Tumor Harboring a Unique ROCK1::BRAF Fusion
Pediatric Blood &Cancer, EarlyView.
Marllon Cindra Sant'Ana +8 more
wiley +1 more source
Structural biology of ferritin nanocages
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley +1 more source
Large deviations for weighted random sums
In the present paper we consider weighted random sums ZN = ∑j=1 N ajXj, where 0 0. Throughout this paper N is independent of {X, Xj , j = 1, 2,...} and, for definiteness, it is assumed Z0 = 0. The main idea of the paper is to present results on theorems
Aurelija Kasparavičiūtė +1 more
doaj
Complete Convergence for Weighted Sums of ρ∗-Mixing Random Variables
We obtain the complete convergence for weighted sums of ρ∗-mixing random variables. Our result extends the result of Peligrad and Gut (1999) on unweighted average to a weighted average under a mild condition of weights.
Soo Hak Sung
doaj +1 more source
On large deviations for random sums of the squares of weighted Gaussian random variables
The paper considers normal approximation to the distribution of random sums of the squares of independent weighted Gaussian random variables (r.vs.) taking into consideration large deviations in the Cramér zone.
Aurelija Kasparavičiūtė +1 more
doaj +1 more source

