Results 241 to 250 of about 166,779,658 (293)

Fluctuating Growth Rates Link Turnover and Unevenness in Species-Rich Communities. [PDF]

Ecol Lett
Mallmin E, Traulsen A, De Monte S.
europepmc   +1 more source

Integrating theory and machine learning to reveal determinants of plasmid copy number. [PDF]

Nat Commun
Shahzadi I, Xue W, Ubaid Ullah H, Maddamsetti R, You L, Wang T.   +5 more
europepmc   +1 more source

Multiobjective optimization of natural convection and entropy generation in a porous wavy cavity with a heated star-shaped obstacle using a hybrid nanofluid. [PDF]

Discov Nano
Saleem KB, Ismael MA, Venkatadri K, Mir A, Hassen W, Kolsi L, Ghachem K.   +6 more
europepmc   +1 more source

Mechanical properties and slope stability of a copper mine waste dump in China. [PDF]

Sci Rep
Zhang Z, Ma Z, Huang B, Zhu H, Zhao X, Yang G.   +5 more
europepmc   +1 more source

A Law of Large Numbers for Large Economies [PDF]

Harald Uhlig
core  

Optical Coherence Tomography Velocimetry for In-Line Processing of Biologics: Concentrated and Gelling Monoclonal Antibody Solutions. [PDF]

ACS Eng Au
Lewis CM, Watts Moore O, Heise CT, Tovey J, Waigh TA.   +4 more
europepmc   +1 more source

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The weak law of large numbers for arrays

Statistics and Probability Letters, 1992
Let \(\{X_{ni},1\leq i\leq k_ n,\;n\geq 1\}\), \(k_ n\to\infty\) as \(n\to\infty\), be an array of random variables and \[ {1\over k_ n}\sum^{k_ n}_{i=1}E| X_{ni}|^ pI\{| X_{ni}|>a\}\to 0\quad\text{as }a\to\infty ...
Allan Gut
exaly   +3 more sources

A remark on the Kolmogorov–Feller weak law of large numbers

Proceedings of the Indian Academy of Sciences: Mathematical Sciences, 2022
Let \(X,X_{1},X_{2},...\) denote i.i.d. random variables and consider the partail sums \(S_{n}=X_{1}+X_{2}+...+X_{n}\). Also consider the mean \(\mu _{n}=EX1(\left\vert X\right\vert \leq n)\). The main result generalizes the Kolmogorov-Feller weak law of large numbers as follows.
Fakhreddine Boukhari
exaly   +3 more sources

A Generalization of Weak Law of Large Numbers

Stochastic Analysis and Applications, 2011
Kolmogorov's weak law of large numbers for i.i.d. random variables is generalized to a larger class distributions and to a wide class of normalizing sequences. The result is extended to maximal sums of negatively associated identically distributed random variables.
exaly   +2 more sources

On a Weak Law of Large Numbers with Regularly Varying Normalizing Sequences

Journal of Theoretical Probability, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fakhreddine Boukhari
exaly   +2 more sources