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AuthorBao, Yiqi (1)Bereta, Estela Maris Pereira (1)Borges, Patrick (1)... View MoreSubjectAnálise de sobrevivência (11)Inferência bayesiana (8)Estatística (5)... View MoreDate Issued2016 (8)2015 (4)2014 (4)2013 (3)2012 (3)2011 (2)2010 (4)2009 (1)2008 (1)CNPq SubjectsCIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA::ESTATISTICA (19)CIENCIAS EXATAS E DA TERRA (5)CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA (4)... View MoreGraduate ProgramPrograma de Pós-Graduação em Estatística - PPGEs (30)Document Type
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Modelos alternativos em filas M/G/1 

Prado, Silvia Maria (Universidade Federal de São Carlos, 2015-11-26)
The main aim of this work is to develop alternative queuing models to M/ G/l, in which arrivals follow a Poisson process, the total number of customers on the system and the total number of service channels are unknown. ...
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Modelos série de potência com excesso de zeros observáveis e latentes 

Coaguila Zavaleta, Katherine Elizabeth (Universidade Federal de São Carlos, 2016-09-28)
The present work's main objective is to study the significance of zeros in an observable and latent data. In observable data set that occur excess of zeros, its common to have sobredispersion. In this sense, the models ...
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Modelos não lineares truncados mistos para locação e escala 

Paraiba, Carolina Costa Mota (Universidade Federal de São Carlos, 2015-01-14)
We present a class of nonlinear truncated mixed-effects models where the truncation nature of the data is incorporated into the statistical model by assuming that the variable of interest, namely the truncated variable, ...
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Eliminação de parâmetros perturbadores em um modelo de captura-recaptura 

Salasar, Luis Ernesto Bueno (Universidade Federal de São Carlos, 2011-11-18)
The capture-recapture process, largely used in the estimation of the number of elements of animal population, is also applied to other branches of knowledge like Epidemiology, Linguistics, Software reliability, Ecology, ...
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Modelos de sobrevivência com fração de cura via partição bayesiana 

Gonzales, Jhon Franky Bernedo (Universidade Federal de São Carlos, 2014-05-30)
In general, models for survival data with a cure fraction relate the cure fraction with the covariates using different link functions, for example, the logit link function and do not consider the problem of selection of ...
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Novos modelos de sobrevivência com fração de cura baseados no processo da carcinogênese 

Borges, Patrick (Universidade Federal de São Carlos, 2012-05-03)
In this dissertation we propose new models for survival with cure fraction to describe the biological mechanism of the event of interest (cancer) in studies of carcinogenesis in the presence of competing causes latent ...
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Procedimentos sequenciais Bayesianos aplicados ao processo de captura-recaptura 

Santos, Hugo Henrique Kegler dos (Universidade Federal de São Carlos, 2014-05-30)
In this work, we make a study of the Bayes sequential decision procedure applied to capture-recapture with fixed sample sizes, to estimate the size of a finite and closed population process. We present the statistical ...
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Algoritmo ejeção-absorção metropolizado para segmentação de imagens 

Calixto, Alexandre Pitangui (Universidade Federal de São Carlos, 2014-12-19)
We proposed a new split-merge MCMC algorithm for image segmentation. We describe how an image can be subdivided into multiple disjoint regions, with each region having an associated latent indicator variable. The latent ...
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Modelos de regressão binomial correlacionada 

Pires, Rubiane Maria (Universidade Federal de São Carlos, 2012-05-18)
In this thesis, a class of correlated binomial regression models is proposed. The model is based on the generalized binomial distribution proposed by Luceño (1995) and Luceño & Ceballos (1995). The regression structure is ...
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Análise bayesiana objetiva para as distribuições normal generalizada e lognormal generalizada 

Jesus, Sandra Rêgo de (Universidade Federal de São Carlos, 2014-11-21)
The Generalized Normal (GN) and Generalized lognormal (logGN) distributions are flexible for accommodating features present in the data that are not captured by traditional distribution, such as the normal and the lognormal ...
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UFSCar
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