Výsledky vyhledávání - "Jalmar M. F. Carrasco"

Hierarchical and multivariate regression models to fit correlated asymmetric positive continuous outcomes

Autor: Francisco José A. Cysneiros, Lizandra C. Fabio, Jalmar M. F. Carrasco, Gilberto A. Paula

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

In the extant literature, hierarchical models typically assume a flexible distribution for the random-effects. The random-effects approach has been used in the inferential procedure of the generalized linear mixed models . In this paper, we propose a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62864b2198a1585faf559e434d7c6702
https://doi.org/10.1007/s00180-021-01163-7

Zobrazit plný text záznamu

An errors-in-variables model based on the Birnbaum–Saunders distribution and its diagnostics with an application to earthquake data

Autor: Robert G. Aykroyd, Jorge I. Figueroa-Zúñiga, Jalmar M. F. Carrasco, Víctor Leiva, Marco Riquelme

Publikováno v: Stochastic Environmental Research and Risk Assessment. 34:369-380

Regression modelling where explanatory variables are measured with error is a common problem in applied sciences. However, if inappropriate analysis methods are applied, then unreliable conclusions can be made. This work deals with estimation and dia

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ff5b95b7585a2196769abb4f44e87488
https://doi.org/10.1007/s00477-020-01767-3

Zobrazit plný text záznamu

Identification of influential observation in linear structural relationship model with known slope

Autor: A. H. M. Rahmatullah Imon, Sohel Rana, Abu Sayed Md. Al Mamun, Abdul Ghapor Hussin, Jalmar M. F. Carrasco, Yong Zulina Zubairi

Publikováno v: Communications in Statistics - Simulation and Computation. 51:72-83

A number of identification techniques are available in the literature to detect influential observations in linear regression models. However, the issue of the identification of influential observa...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::406860e82175f8857b46fd27140ec952
https://doi.org/10.1080/03610918.2019.1645172

Zobrazit plný text záznamu

Simplex regression models with measurement error

Autor: Jalmar M. F. Carrasco, Nancy Reid

Publikováno v: Communications in Statistics - Simulation and Computation. 50:3420-3435

This paper considers the simplex regression model when there is measurement error in the covariate. We consider a structural approach where the measurement error follows a normal or gamma distribut...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::41b4a0759d3fefd5bf4a48eaf97abb00
https://doi.org/10.1080/03610918.2019.1626881

Zobrazit plný text záznamu

Diagnostic tools for a multivariate negative binomial model for fitting correlated data with overdispersion

Autor: Jalmar M. F. Carrasco, Cristian Villegas, Mário de Castro, Lizandra C. Fabio

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

We focus on the development of diagnostic tools and an R package called MNB for a multivariate negative binomial (MNB) regression model for detecting atypical and influential subjects. The MNB model is deduced from a Poisson mixed model in which the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a20c2a041c073aa54a130f9dd6659e7
http://arxiv.org/abs/2102.07752

Zobrazit plný text záznamu

Beta regression model nonlinear in the parameters with additive measurement errors in variables

Autor: Maria do Carmo S. Lima, Klaus L. P. Vasconcellos, Jalmar M. F. Carrasco, Daniele de Brito Trindade, Patrícia L. Espinheira

Publikováno v: PLoS ONE, Vol 16, Iss 7, p e0254103 (2021)
PLoS ONE

We propose in this paper a general class of nonlinear beta regression models with measurement errors. The motivation for proposing this model arose from a real problem we shall discuss here. The application concerns a usual oil refinery process where

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf79297cc2def5731189393702746eba
https://doaj.org/article/c38563fc9bc44265a6e523317052b2b9

Zobrazit plný text záznamu

A class of beta regression models with multiplicative log-normal measurement errors

Autor: Eveliny Barroso da Silva, Jalmar M. F. Carrasco, Carlos R. Diniz, Mário de Castro

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

In this article, we propose a beta regression model with multiplicative log-normal measurement errors. Three estimation methods are presented, namely, naive, calibration regression, and pseudo likelihood. The nuisance parameters are estimated from a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46d7aba166ed5dad1c1a3b767a0000fe
https://doi.org/10.1080/03610918.2017.1280165

Zobrazit plný text záznamu

A Bayesian approach to errors-in-variables beta regression

Autor: Reinaldo B. Arellano-Valle, Silvia Ferrari, Jalmar M. F. Carrasco, Jorge I. Figueroa-Zúñiga

Publikováno v: Braz. J. Probab. Stat. 32, no. 3 (2018), 559-582
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

Beta regression models have been widely used for the analysis of limited-range continuous variables. Here, we consider an extension of the beta regression models that allows for explanatory variables to be measured with error. Then we propose a Bayes

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f345dce21d929a69ac433205405d653b
https://projecteuclid.org/euclid.bjps/1528444872

Zobrazit plný text záznamu

A generalized modified Weibull distribution for lifetime modeling

Autor: Edwin M. M. Ortega, Gauss M. Cordeiro, Jalmar M. F. Carrasco

Publikováno v: Computational Statistics & Data Analysis. 53:450-462

A four parameter generalization of the Weibull distribution capable of modeling a bathtub-shaped hazard rate function is defined and studied. The beauty and importance of this distribution lies in its ability to model monotone as well as non-monotone

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2c5597c930eb833c4621afce172b9496
https://doi.org/10.1016/j.csda.2008.08.023

Zobrazit plný text záznamu

An Extension of the Kumaraswamy Distribution

Autor: Gauss M. Cordeiro, Jalmar M. F. Carrasco

Publikováno v: International Journal of Statistics and Probability. 6:61

We propose and study a new five-parameter continuous distribution in the unit interval through a specific probability integral transform. The new distribution, under some parameter constraints, is an identified parametric model that includes as speci

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ddcefe3fa19d02d197baba4ab9ebbfc8
https://doi.org/10.5539/ijsp.v6n3p61

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání