Shaking Table Test-Based Verification of PDEM for Random Seismic Response of Anchored Rock Slopes
Applied SciencesThis study systematically verified the applicability and accuracy of the Probability Density Evolution Method (PDEM) in the probabilistic modeling of the dynamic response of anchored rock slopes under random seismic action through large-scale shaking ...
Xuegang Pan, Jinqing Jia, Lihua Zhang
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MATEC Web of Conferences, 2016 For a continuous random variable in real number field, there must be a distribution and also a probability density function of this random variable. If there is a known function with this random variable as independent variable, its image is a smooth or ...
Chen Yiyan, Li Ye
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A mathematical Weibull model altered neuroendocrine control of GH secretion in normal women of advanced reproductive age [PDF]
Network Biology, 2022 An extreme value distribution, the Weibull distribution is frequently used to model reliability, wind speed, survival, and other data. One of the main reasons for this is its flexibility.
S. Vijaya, A. Anandan
doaj
Some probability density functions and their characteristic functions [PDF]
Mathematics of Computation, 1973 This paper presents, without derivation, several generalized density functions together with their characteristic functions. The densities are expressed variously in terms of special functions such as:
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Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
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Nonparametric Probability Density Function Estimation Using the Padé Approximation
AlgorithmsEstimating the Probability Density Function (PDF) of observed data is crucial as a problem in its own right, and also for diverse engineering applications.
Hamid Reza Aghamiri +3 more
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Simulated Annealing with Gaussian Probability Density Function for Transmission Expansion Planning
U.Porto Journal of Engineering, 2015 Simulated Annealing (SA) is a powerful tool for optimization problems that have several local optima. This tool has the ability to escape from a local optima accepting relatively bad solutions for a period and searching for good solutions in your ...
Phillipe Gomes
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On joint Weibull probability density functions
Applied Mathematics Letters, 2005 AbstractTwo important results for the joint probability density function of the Weibull distribution are derived.
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Conditional density estimation with class probability estimators [PDF]
, 2009 Many regression schemes deliver a point estimate only, but often it is useful or even essential to quantify the uncertainty inherent in a prediction. If a conditional density estimate is available, then prediction intervals can be derived from it.
Remco R. Bouckaert +3 more
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Experimental Assessment of ‘subgrid’ scale Probability Density Function Models for Large Eddy Simulation [PDF]
, 2012 Filtered density functions (FDFs) of mixture fraction are quantified by analyzing experimental data obtained from two-dimensional planar laser-induced fluorescence scalar measurements in the isothermal swirling flow of a combustor operating at a ...
Hardalupas, Y. +3 more
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