Results 241 to 250 of about 27,531 (299)

pH-driven spontaneous recovery of tyrosine <i>via</i> co-precipitation in the indirect aqueous carbonation of gypsum. [PDF]

RSC Adv
Qu Y, Gong Y, Wu B, Li C, Wang L, Wang Y.   +5 more
europepmc   +1 more source

Optimization of tray inventory levels in hospitals from an integral perspective. [PDF]

Health Care Manag Sci
Bos H, Hosteins G, Wijnholds W, Braaksma A, Leeftink G.   +4 more
europepmc   +1 more source

Material Variability and Quality Control Effects on Shear Resistance of RC Structures: A Reliability Sensitivity Study. [PDF]

Materials (Basel)
Faghfouri S, Strauss A.
europepmc   +1 more source

Variance-calibrated cross-individual bootstrapping for small-sample neuroscience. [PDF]

Sci Rep
Uyanik I.
europepmc   +1 more source

Extensions of multinomial processing tree models for continuous variables: A simulation study comparing parametric and non-parametric approaches. [PDF]

Behav Res Methods
Gutkin A, Heck DW.
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On the approximation of sum of lognormal for correlated variates and implementation. [PDF]

PLoS One
Mohd Yunus AN, Muda N, Othman AR, Aïssa S.   +3 more
europepmc   +1 more source

Lognormal distributions capture site-specific variability in enteric virus concentrations in wastewater.

Environ Sci (Camb)
Li C, Kohn T, Torii S, Wynn HK, Devaux AJ, Gan C, Julian TR, Sylvestre É.   +7 more
europepmc   +1 more source

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Approximating Lognormal Sum Distributions With Power Lognormal Distributions

IEEE Transactions on Vehicular Technology, 2008
In wireless communications, cochannel interference is usually characterized by a sum of lognormal random variables. Since the characteristic function of a lognormal distribution lacks explicit expression, and numerical calculation of a lognormal sum distribution is very challenging, lognormal distributions are often used to approximate lognormal sum ...
J Almhana
exaly   +2 more sources

An Optimal Lognormal Approximation to Lognormal Sum Distributions

IEEE Transactions on Vehicular Technology, 2004
Sums of lognormal random variables occur in many problems in wireless communications because signal shadowing is well modeled by the lognormal distribution. The lognormal sum distribution is not known in the closed form and is difficult to compute numerically.
Norman C Beaulieu
exaly   +2 more sources