Results 31 to 40 of about 807,423 (305)

mixsmsn: Fitting Finite Mixture of Scale Mixture of Skew-Normal Distributions

Journal of Statistical Software, 2013
We present the R package mixsmsn, which implements routines for maximum likeli- hood estimation (via an expectation maximization EM-type algorithm) in finite mixture models with components belonging to the class of scale mixtures of the skew-normal ...
Marcos Oliveira Prates, Victor Hugo Lachos, Celso Rômulo Barbosa Cabral   +2 more
doaj   +1 more source

Numerical and experimental study of filling a vessel with a component of gas mixture

Авіаційно-космічна техніка та технологія, 2021
The subject of the research is mathematical models of a gas-dynamic non-stationary process of filling a vessel with a component of a gas mixture. The aim of the study is the scientific and experimental substantiation of the choice of a model of filling a
Ольга Володимирівна Шипуль, Сергій Олександрович Заклінський, Володимир Вікторович Комбаров, Олексій Анатолійович Павленко, Вадим Олегович Гарін   +4 more
doaj   +1 more source

Scale-up in laminar and transient regimes of a multi-stage stirrer, a CFD approach [PDF]

, 2002
A multi-stage industrial agitator system adapted to the mixing of a mixture whose viscosity varies during the process has been characterized by using CFD.
Hobbes, Phillippe, Xuereb, Catherine, Letellier, Bertrand, Bertrand, Joël, Swaels, Philippe   +4 more
core   +1 more source

Sketching for large-scale learning of mixture models [PDF]

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016
AbstractLearning parameters from voluminous data can be prohibitive in terms of memory and computational requirements. We propose a ‘compressive learning’ framework, where we estimate model parameters from a sketch of the training data. This sketch is a collection of generalized moments of the underlying probability distribution of the data.
Keriven, Nicolas, Bourrier, Anthony, Gribonval, Rémi, Pérez, Patrick   +3 more
openaire   +4 more sources

Fractal Analysis of Particle Distribution and Scale Effect in a Soil–Rock Mixture

Fractal and Fractional, 2022
A soil–rock mixture (SRM) is a type of heterogeneous geomaterial, and the particle distribution of SRM can be described by fractal theory. At present, it is difficult to quantify the fractal dimension of a particle size distribution and understand the ...
Xiaodong Fu, Haifeng Ding, Qian Sheng, Zhenping Zhang, Dawei Yin, Fei Chen   +5 more
doaj   +1 more source

Evaluation of ammonia emission reducing effect by adding waste cooking oil in pilot-scale composting of dairy cattle manure [PDF]

Animal Bioscience, 2023
Objective In our previous study, we observed that the addition of waste cooking oil (WCO) reduced ammonia (NH3) emissions during laboratory-scale composting of dairy cattle manure under low-aeration condition.
Kazutaka Kuroda, Akihiro Tanaka, Kenichi Furuhashi, Naoki Fukuju   +3 more
doaj   +1 more source

Scale mixtures of Kotz–Dirichlet distributions

Journal of Multivariate Analysis, 2013
AbstractIn this paper, we first show that a k-dimensional Dirichlet random vector has independent components if and only if it is a Kotz Type I Dirichlet random vector. We then consider in detail the class of k-dimensional scale mixtures of Kotz–Dirichlet random vectors, which is a natural extension of the class of Kotz Type I random vectors.
N. Balakrishnan 0002, Enkelejd Hashorva
openaire   +1 more source

Weakly Informative Reparameterizations for Location-Scale Mixtures [PDF]

Journal of Computational and Graphical Statistics, 2018
While mixtures of Gaussian distributions have been studied for more than a century (Pearson, 1894), the construction of a reference Bayesian analysis of those models still remains unsolved, with a general prohibition of the usage of improper priors (Fruwirth-Schnatter, 2006) due to the ill-posed nature of such statistical objects.
Kaniav Kamary, Jeong Eun Lee, Christian P. Robert   +2 more
openaire   +5 more sources

Flexible Robust Mixture Regression Modeling

Revstat Statistical Journal, 2022
This paper provides a flexible methodology for the class of finite mixture of regressions with scale mixture of skew-normal errors (SMSN-FMRM) introduced by [42], relaxing the constraints imposed by the authors during the estimation process.
Marcus G. Lavagnole Nascimento , Carlos A. Abanto-Valle   +1 more
doaj   +1 more source

Granular-slurry rheology and asphalt compaction [PDF]

EPJ Web of Conferences, 2021
Hot mixed asphalt (HMA) is a mixture of particles (coarse and fine aggregates) and interstitial fluid (asphalt binder) designed to compact and harden for long-lasting roads.
Man Teng, Hill Kimberly
doaj   +1 more source