Showing 1 - 20 results of 32 for search 'random parameters with heterogeneity in mean and variables', query time: 0.17s Refine Results
  1. 1

    Investigating Contributors to Hit-and-Run Violations in Urban River-Crossing Road Tunnels: A Random Parameter Logit Model With Heterogeneity in Means by Dengzhong Wang, Jiayu Zhou, Gen Li, Haigen Min, Chenming Jiang, Linjun Lu

    Published 2025-01-01
    “…Results showed that the random parameter logit model with heterogeneity in means produced the highest fitting accuracy among the three models. …”
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    Injury-Severity Analysis of Highway-Railroad Grade Crossing Crashes Based on a Random Parameters Logit Model With Heterogeneity in Means and Variances by Lan Wu, Jiayu Zhou, Haigen Min, Gen Li

    Published 2025-01-01
    “…The multinomial logit (MNL) model, the random parameters logit model, and the random parameters logit model with heterogeneity in means and variances were constructed, and the one with the best fit and accuracy to calculate the average marginal effect of each variable, thereby quantifying their impact on injury severity at HRGCs. …”
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  3. 3

    An Electrical Parameter Characterizing Solute Heterogeneity: The Mixing Factor M by Alejandro Fernandez Visentini, Niklas Linde

    Published 2024-06-01
    “…We generalize the high‐salinity asymptotic limit of electrical conduction in porous media at the continuous (e.g., Darcy) scale, by introducing a new petrophysical parameter, the mixing factor M, which accounts for the effect of fluid conductivity heterogeneity on the equivalent electrical conductivity tensor; it is expressed in terms of the volume‐average of the product of mean‐removed fluid conductivity and electric fields. …”
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  4. 4

    Investigation of factors affecting crash severity of rear-end crashes with high collision speeds in work zones: A South Carolina case study by Mahyar Madarshahian, Jason Hawkins, Nathan Huynh, Chowdhury K.A. Siddiqui

    Published 2025-03-01
    “…The estimation results show that the interstate variable is best modeled as a random parameter at a 90% confidence level. …”
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  5. 5

    Rear-end conflicts analysis at non-signalized intersection based on vehicles trajectory data by Hussain A. Nasr, Helai Huang, Jieling Jin, Hanchu Zhou

    Published 2025-05-01
    “…The Intersection Drone Dataset from an intersection in the city of Aachen in Germany is used to measure traffic conflicts between car-following (leading and following vehicles) when approaching the intersection, then the microscopic variables leading to these conflicts are explored using the random parameter logit model with heterogeneity in means and variances. …”
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  6. 6

    Analytical Analysis of Infinite Heterogeneous Slope Stability considering Suction Influence by Kang Liu, Jian Yue, Fan Yang

    Published 2022-01-01
    “…The analysed results show that the suction has influences on the distribution of the FOS for both homogeneous slopes and heterogeneous slopes. In addition, the correlation coefficient between the strength parameters and the autocorrelation length of the strength parameters affects the mean and standard deviation of FOS for homogeneous slopes and the probability of failure for heterogeneous slopes.…”
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    Do Expressway Interchanges Increase Crash Injury Severities? Insights Using Temporal Instability and Unobserved Heterogeneity by Fang Wang, Chenzhu Wang, Said M. Easa, Siqi Lian, Fei Chen, Jianchuan Cheng

    Published 2023-01-01
    “…Additionally, the marginal effects of various determinants are calculated to understand their influence across different year periods and crash types. Key variables such as overspeed, single-vehicle, AADT (annual average daily traffic volume), Lsmin, and other crash type indicators are identified as significant random parameters, demonstrating heterogeneity in means and variances. …”
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  9. 9

    Uncertainty and Stochasticity in Modelling of Microstructure Evolution During Hot Rolling of Steels Uncertainty and Stochasticity in Modelling of Microstructure Evolution During Ho... by D. Szeliga, J. Foryś, J. Kusiak, R. Kuziak, R. Nadolski, M. Pietrzyk, Ł. Rauch

    Published 2025-03-01
    “…Models based on stochastic internal variables meet this requirement. Our stochastic model accounts for the random character of the recrystallization and transfers this randomness into equations describing the evolution of the dislocation populations and the grain size during the hot deformation of steels. …”
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  10. 10

    Stochastic Finite Element Analysis for Static Bending Beams with a Two-Dimensional Random Field of Material Properties by Dang Diem Nguyen, Sy Dan Dao, Xuan Tung Nguyen, Van Tan Giap

    Published 2025-05-01
    “…The weighted integral method is applied to represent the random field as random variables and to compute the element stiffness matrices, while a first-order perturbation technique is utilized to estimate the statistical moments of the nodal displacement vector, including the mean and covariance matrix. …”
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  11. 11

    Context-Aware Embedding Techniques for Addressing Meaning Conflation Deficiency in Morphologically Rich Languages Word Embedding: A Systematic Review and Meta Analysis by Mosima Anna Masethe, Hlaudi Daniel Masethe, Sunday O. Ojo

    Published 2024-10-01
    “…To estimate effect sizes and evaluate heterogeneity and publication bias among the chosen papers, meta-analytic approaches were utilized such as the tau-squared (τ<sup>2</sup>) which represents a statistical parameter used in random-effects, H-squared (H<sup>2</sup>) is a statistic used to measure heterogeneity, and I-squared (I<sup>2</sup>) quantify the degree of heterogeneity. …”
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  12. 12

    Noncovarying storage effect: Balancing and positive directional selection on mutant alleles that amplify random fitness and demographic fluctuations. by Yuseob Kim

    Published 2025-01-01
    “…The latter occurs in a wider range of parameters and, if the fitness effects of mutations change the mean absolute fitness of the population, leads to positive feedback between demography and selection that causes a drastic amplification of population size fluctuation. …”
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    Assessing spatial variability of soil macro fauna and tree canopy using fractal theory (Case study: Riparian Forest of Maroon River) by Shaieste Gholami, ehsan sayad, Hamid Taleshi

    Published 2016-08-01
    “…Classical statistical parameters, i.e. mean, standard deviation, coefficient of variation, minimum and maximum, were calculated. …”
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  15. 15

    The effect of exercise-induced muscle fatigue on gait parameters among older adults: a systematic review and meta-analysis by Paul Benjamin Voorn, Remco Oomen, Jacek Buczny, Daniël Bossen, Bart Visser, Mirjam Pijnappels

    Published 2025-04-01
    “…Results We included 573 effect sizes on gait parameters from 31 studies. The included studies reflected a total population of 761 older adults (57% female), with a mean age of 71 (SD 3) years. …”
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  16. 16

    Effects of Functional Partial Body Weight Support Treadmill Training on Mobility in Children with Ataxia: A Randomized Controlled Trial by Alexandra Lepoura, Sofia Lampropoulou, Antonis Galanos, Marianna Papadopoulou, Georgios Gkrimas, Magda Tziomaki, Vasiliki Sakellari

    Published 2025-04-01
    “…<b>Methods:</b> Through a stratified randomized control trial, a sample of 18 children with progressive and non-progressive ataxia and GMFCS II-IV (mean age: 14 years; standard deviation: 2.5) was assessed prior to the intervention, post-intervention, and 2 months after its end. …”
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  17. 17

    Factors influencing injury severity in three-wheeled motorized rickshaw and motorcycle collisions by Zia Ur Rehman, Jiang Chaozhe, Emmanuel Kofi Adanu, Yahya Almarhabi, Arshad Jamal

    Published 2025-05-01
    “…The current study aims to fill this gap by investigating the risk factors contributing to injury severity in such crashes, employing a random parameters multinomial logit model with heterogeneity in means and variance. …”
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    Vagal nerve activity and cancer prognosis: a systematic review and meta-analysis by Wen-Bo Huang, Heng-zhou Lai, Jing Long, Qiong Ma, Xi Fu, Feng-Ming You, Chong Xiao

    Published 2025-03-01
    “…Compared with low root mean square of successive differences (RMSSD) group. …”
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  20. 20

    Riparian habitat quality and seasonality drives spatiotemporal habitat ecology of sympatric Asian otters in southern Western Ghats by Ankit Moun, Tharmalingam Ramesh, Tharmalingam Ramesh, Riddhika Kalle, Riddhika Kalle

    Published 2024-12-01
    “…Our study shows that rainfall plays a significant role in enhancing the hydrological flow in non-perennial streams and also improves the water quality parameters and the riparian habitat conditions. We found highly variable encounter rates of both species across seasons and habitat quality gradients, however, overall, their mean encounter rates increased with the habitat quality gradient.DiscussionOur findings showed that relating otter sign encounter rates with fine-scale riparian habitat quality was a useful and practical approach to monitor the sensitivity of sympatric semi-aquatic mustelids towards habitat conditions and simultaneously monitor the riparian ecosystem health, across seasons and years. …”
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