نتایج جستجو برای: mixture cure model

تعداد نتایج: 2197597  

Journal: :Pakistan Journal of Statistics and Operation Research 2021

In competing risks cure models, if there is unobserved heterogeneity among susceptible patients, application of the methods that do not consider this heterogeneity, may lead to invalid results. Therefore, study aimed introduce a model cover above properties survival studies. We introduced unified by combining parametric mixture gamma frailty and vertical modeling risks. obtained estimates param...

Journal: :the modares journal of electrical engineering 2004
mohammad mahdi homayounpour jahanshahe kabudian

a parallel hybrid system of hmm and gmm modeling techniques was implemented and used in a telephony speaker verification and identification system. spectral subtraction and weighted projection measure were used to render this system more robust against additional noise. cepstral mean subtraction method was also applied for the compensation of convolution noise due to transmission channel degrad...

Journal: :Computational Statistics & Data Analysis 2012
Raydonal Ospina Silvia L. P. Ferrari

This paper proposes a general class of regression models for continuous proportions when the data contain zeros or ones. The proposed class of models assumes that the response variable has a mixed continuous-discrete distribution with probability mass at zero or one. The beta distribution is used to describe the continuous component of the model, since its density has a wide range of different ...

2006
Daniel Doktor Thomas Carruthers Murdoch McAllister Tim Oxley

Contents 1 Introduction 2 The R program 3 Phenology, an introduction 4 Geo-statistical modelling & analysis of phenological phases 5 Multivariate tools to visualise spatio-temporal patterns in phenology 6 Gaussian Mixture Models of geographical phenomena 7 Analysis of space-time correlations within geographical studies

2006
Yong Lei Qinglin Wu

The effect of wood flour on the cure kinetics of commercial phenol-formaldehyde resins used as oriented strandboard face and core adhesives was studied using differential scanning calorimetry. The wood flour did not change the cure mechanism of the face resin, but lowered its cure temperature and activation energy and increased its cure reaction order. For the core resin (CR), the wood flour lo...

2014
Fatemeh Shiravand John M. Hutchinson Yolanda Calventus Francesc Ferrando

Three different protocols for the preparation of polymer layered silicate nanocomposites based upon a tri-functional epoxy resin, triglycidyl para-amino phenol (TGAP), have been compared in respect of the cure kinetics, the nanostructure and their mechanical properties. The three preparation procedures involve 2 wt% and 5 wt% of organically modified montmorillonite (MMT), and are: isothermal cu...

Journal: :physical chemistry research 0
mohammad reza sovizi malek ashtar university of technology ghasem fakhrpour department of chemistry, malek ashtar university of technology ali reza madram department of chemistry, malek ashtar university of technology

in this work, thermal degradation behavior of a fuel-rich energetic mixture containing epoxy binder was studied by thrmogravimetric analysis and differential scanning calorimetry under dynamic nitrogen atmosphere at different heating rates. variation of the thermal degradation activation energy of the mixture was evaluated by differential and integral isoconversional methods via akts software p...

Behnam Zarpak, Rahman Farnoosh,

  Stochastic models such as mixture models, graphical models, Markov random fields and hidden Markov models have key role in probabilistic data analysis. In this paper, we have learned Gaussian mixture model to the pixels of an image. The parameters of the model have estimated by EM-algorithm.   In addition pixel labeling corresponded to each pixel of true image is made by Bayes rule. In fact, ...

Journal: :Computer Speech & Language 2011
Daniel Povey Lukás Burget Mohit Agarwal Pinar Akyazi Kai Feng Arnab Ghoshal Ondrej Glembek Nagendra K. Goel Martin Karafiát Ariya Rastrow Richard C. Rose Petr Schwarz Samuel Thomas

We describe a new approach to speech recognition, in which all Hidden Markov Model (HMM) states share the same Gaussian Mixture Model (GMM) structure with the same number of Gaussians in each state. The model is defined by vectors associated with each state with a dimension of, say, 50, together with a global mapping from this vector space to the space of parameters of the GMM. This model appea...

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