two-component mixture model
A two-component Bayesian mixture model to identify implausible gestational age
... Bayesian mixture models are plausible candidates for identifying implausible gestational ...ture model in order to model the distribu- tion of birth weight ...a two-component ...
7
Reliability analysis of 3-component mixture of distributions
... to model the survival data. The use of mixture distributions has obtained popularity for modeling the heterogeneous ...data. Mixture of distributions is useful because it is applied to represent ...
14
Mixture of identical distributions of exponential, gamma, lognormal, weibull, gompertz approach to heterogeneous survival data
... the mixture models of two identical distributions such as Exponential- Exponential, Gamma-Gamma, Weibull-Weibull, Lognormal-Lognormal and Gompertz-Gompertz to represent the heterogeneous survival data ...
12
Bonus-Malus systems with two component mixture models arising from different parametric families.
... a model for scale, shape and prior (mixing) probabilities in the case of two component mixture ...within two sub- populations in the following ...choosing two unobserved latent ...
38
A 2 Component Laplace Mixture Model: Properties and Parametric Estimations
... finite mixture models which is based on the work of McLachlan, and Peel ...the two-component mixture of Laplace and Laplace type bimodal distributions, and they find the properties and ...
8
Monte Carlo Estimation Of The Parameters Of Two-Component Mixture Weibull Distribution
... An outlying observation, or outlier, is one that appears to deviate markedly from other members of the sample in which it occurs. A frequent cause of outliers is the use of mixture distributions. Outliers can lead ...
20
Bonus-Malus Systems with Two Component Mixture Models Arising from Different Parametric Families
... using two component mixture distributions de…ned so that the component distributions do not necessarily arise from the same para- metric ...of model choices that account for unobserved ...
37
A Copula Based Test for a Two Component Bivariate Mixture Distribution
... Here, we present the estimated power of the hypothesis test for various choices of the mixing proportion based on 1000 simulation runs from the Gaussian Copula model. We used the same set of values that were used ...
6
A Study on Variational Component Splitting approach for Mixture Models
... Identification of software defects is an important part of software testing. Using machine learning techniques helps to identify defects in a short time and helps reduce the manual workforce for testing [70–72]. We ...
82
An Efficient Improving Ofdm Receiver Performance In An Impulsive Noise Environment With Blanking Nonlinearity
... the two-component mixture- Gaussian model, which is widely accepted and frequently used for performance analysis of various transmission schemes in impulsive noise environment ...
8
Numerical Simulation of Forced Convection of Nanofluids by a Two-Component Nonhomogeneous Model
... the two-phase ...a two-component four-equation nonhomogeneous equilibrium model for mass, momentum, and heat transport in ...the model proposed by Buongiorno [24] is used for the first ...
11
Performance Evaluation of a Queueing Model with Two Component Mixture of Doubly Truncated Exponential Service Times
... From table 3 it is observed that the model parameters have a significant influence on the waiting time of a packet in the system and in the queue. As the mean arrival rate is increasing then the average waiting ...
10
A Tightly coupled Unsupervised Clustering and Bilingual Alignment Model for Transliteration
... process mixture mod- el (cDPMM) that simultaneously clusters and bilingually aligns transliteration data within a single unified ...ified model decomposes into two class- es of non-parametric ...
6
A two component red blood cell model for single cell mechanic
... this model helps to eliminate the problem concerning accurate prediction for the axial and transverse ...this model also show that cytoplasm viscosity plays important role in terms of deformation of RBC ...
9
A two component red blood cell model for single cell mechanic
... a two components model of RBC consisting of membrane and cytoplasm adapting Neo-Hookean strain energy ...The model was carefully evaluated in terms of hyperelasticity and stretching behavior when ...
7
Coordinating Principal Component Analyzers
... this model to map omni-directional camera images, recorded through an office, to a 2d latent space (the location in the office), where the data was ’supervised’ in the sense that 2d workfloor coordinates are ...
6
Two-component Dark Matter in the vectorlike hypercolor extension of the Standard Model
... We solved the above kinetic equations numerically. The results are presented in the Fig.2 as the set of regions in the parameter plane-of H-pion and H-sigma masses. Here, dark blue color denotes areas in which we have ...
5
Multiple Tracking of Moving Objects with Kalman Filtering and PCA GMM Method
... adaptive mixture of Gaussian method, GMM, we considered the pixel processes as time series such that each pixel assumed to be an independent statistical proc- ess, incorporates all pixel ...The mixture mo- ...
6
Identifying mixtures of mixtures using Bayesian estimation
... hierarchical mixture of mixtures model is able to capture the data clusters quite well both in terms of the estimated number of clusters and the clustering quality measured by the misclassification rate as ...
32
A Component Model for Model Transformations
... a component is created, tested and deployed, its evolution is similar to the case of regular ...same component to coexist. We have framed this component model into the four dimensions of reuse ...
6