Results 81 to 90 of about 4,761,459 (294)
The Mean Difference for Lognormal Distribution [PDF]
The calculation of the mean difference for the lognormal distribution involves several hard integrals featuring the error function. In this paper, considering two particular cases of an integral of the exponential function for the complement to one of ...
GIRONE, Giovanni, MANCA, FABIO
core +1 more source
ABSTRACT Shape memory alloys (SMAs) exhibit excellent self‐centering capability due to their stress‐induced phase transformation, making them highly suitable for applications in resilient infrastructure. This study investigates the seismic performance of reduced‐strength moment‐resisting frames (MRFs) equipped with SMA‐based superelastic friction ...
Faisal Nissar Malik +5 more
wiley +1 more source
ABSTRACT This study explores the seismic performance of a five‐story prototype building using different configurations of a dual lateral force‐resisting system (LFRS) combining post‐tensioned cross‐laminated timber rocking walls (PT‐CLT‐RW) with conventional wood light‐frame shear walls (LiFS).
Ruben Jerves, Adam R. Phillips
wiley +1 more source
Cumulative distribution function for lognormal and Lavalette distributions, being μ = 0 and σ = 0.1, 0.5 and 1 the parameters of the lognormal. The x axis is in logarithmic scale.
Yaning Yang (2318779) +4 more
core +1 more source
ABSTRACT Scaling geological CO2 storage requires simultaneously controlling plume migration, pressure buildup, geomechanical integrity, and monitoring cost under deep subsurface uncertainty. Yet early‐stage assessments often treat these elements in isolation, obscuring the decision‐critical couplings between pressure‐defined regulatory exposure and ...
Mrityunjay Singh, Heba Atef, Ingo Sass
wiley +1 more source
Ubiquitous lognormal distribution of neuron densities in mammalian cerebral cortex. [PDF]
Morales-Gregorio A +2 more
europepmc +1 more source
Inference for double Pareto lognormal queues with applications [PDF]
In this article we describe a method for carrying out Bayesian inference for the double Pareto lognormal (dPlN) distribution which has recently been proposed as a model for heavy-tailed phenomena. We apply our approach to inference for the dPlN/M/1 and M/
Michael P. Wiper +3 more
core
Parameters of lognormal contrast distribution.
Parameters of the lognormal distributions of the r.m.s. contrasts of our database. μ is the expected value, σ2 the variance of the distribution; both parameters were obtained by a lognormal fit to the distribution. n is the number of elements.
Jens Peter Lindemann (111) +2 more
core +1 more source
Nonparametric Regression for Cost‐Effectiveness Analyses With Observational Data—A Tutorial
ABSTRACT Healthcare decision‐making often requires selecting among multiple treatment options under budget constraints, particularly when one option is more effective but also more costly. Cost‐effectiveness analysis (CEA) provides a framework for evaluating whether the health benefits of a treatment justify its additional costs.
Jonas Esser +3 more
wiley +1 more source
Improvement in the Between-Class Variance Based on Lognormal Distribution for Accurate Image Segmentation. [PDF]
Jumiawi WAH, El-Zaart A.
europepmc +1 more source

