Výsledky vyhledávání - "Rubiane M. Pires"

Influence Diagnostics for Correlated Binomial Regression Models: An Application to a Data Set on High-Cost Health Services Occurrence

Autor: Paulo H. Ferreira, Carlos R. Diniz, Carolina Costa Mota Paraíba, Rubiane M. Pires

Publikováno v: Revista Colombiana de Estadística. 44:253-278

This paper considers a frequentist perspective to deal with the class of correlated binomial regression models (Pires & Diniz, 2012), thus providing a new approach to analyze correlated binary response variables. Model parameters are estimated by dir

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e60d9817fe4ddf8d68b9e713fda6c85b
https://doi.org/10.15446/rce.v44n2.85606

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A Bayesian estimation of lag lengths in distributed lag models

Autor: Rubiane M. Pires, José Galvão Leite, Camila Pedrozo Rodrigues, Carlos R. Diniz

Publikováno v: Journal of Statistical Computation and Simulation. 84:415-427

Dynamic regression models are widely used because they express and model the behaviour of a system over time. In this article, two dynamic regression models, the distributed lag (DL) model and the autoregressive distributed lag model, are evaluated f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::96bb7959189148280de469ee3f1f52fb
https://doi.org/10.1080/00949655.2012.712972

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Correlated binomial regression models

Autor: Rubiane M. Pires, Carlos R. Diniz

Publikováno v: Computational Statistics & Data Analysis. 56:2513-2525

In this paper, a class of correlated binomial regression models is proposed. The model is based on the generalized binomial distribution proposed by Luceno (1995) and Luceno and Ceballos (1995). The regression structure is modeled by using four diffe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dc76f36675a61bfa7d72a6b960b38f58
https://doi.org/10.1016/j.csda.2012.02.004

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Bayesian analysis and diagnostic of overdispersion models for binomial data

Autor: Rubiane M. Pires, Carolina Costa Mota Paraíba, Carlos R. Diniz

Publikováno v: Braz. J. Probab. Stat. 29, no. 3 (2015), 608-639

stica - UFSCar Abstract. In the present paper, we focus our attention on the mul- tiplicative binomial model, the double binomial model and the beta- binomial model considering the Bayesian perspective, modeling both the probability of success and th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d286a03bdb44c3715b530ec6ea8f8a6f
http://projecteuclid.org/euclid.bjps/1433983068

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A generalized species-area relationship: The Poisson distribution case

Autor: Carlos R. Diniz, Francisco Louzada, Marinho G. Andrade, Rubiane M. Pires, Katiane S. Conceição

Publikováno v: Braz. J. Probab. Stat. 28, no. 3 (2014), 446-460
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

Species richness is related to various factors, such as muta- tion, interaction, competition and the amount of available resources for survival, among others. Additionally, species richness is related to the size of the habitat area (species-area rel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8952fb613fa1be63f831ee957ef31b1
https://doi.org/10.1214/13-bjps219

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A Bayesian approach for the multiplicative binomial regression model

Autor: Carlos R. Diniz, Carolina Costa Mota Paraíba, Rubiane M. Pires

Publikováno v: AIP Conference Proceedings.

In the present paper, we focus our attention on Altham’s multiplicative binomial model under the Bayesian perspective, modeling both the probability of success and the dispersion parameters. We present results based on a simulated data set to acces

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d27f85891aed9767def10b861748646f
https://doi.org/10.1063/1.4759608

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