Barriga, Gladys
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1

Survival model induced by discrete frailty for modeling of ..:

Cancho, Vicente G. ; Barriga, Gladys ; Leão, Jeremias.
Communications in Statistics - Theory and Methods.  50 (2019)  5 - p. 1161-1172 , 2019
 
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A multivariate survival model induced by discrete frailty:

Cancho, Vicente G. ; Suzuki, Adriano K. ; Barriga, Gladys D. C..
Communications in Statistics - Simulation and Computation.  51 (2020)  11 - p. 6572-6590 , 2020
 
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A new survival model with surviving fraction: An applicatio..:

Barriga, Gladys DC ; Cancho, Vicente G ; Garibay, Daniel V..
Statistical Methods in Medical Research.  28 (2018)  9 - p. 2665-2680 , 2018
 
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Estimation and influence diagnostics for zero-inflated hype..:

Cancho, Vicente G. ; Yiqi, Bao ; Fiorucci, Jose A...
Communications in Statistics - Theory and Methods.  47 (2017)  11 - p. 2741-2759 , 2017
 
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9

A general long-term aging model with different underlying a..:

Suzuki, Adriano K. ; Barriga, Gladys D. C. ; Louzada, Francisco.
Communications in Statistics - Theory and Methods.  46 (2016)  6 - p. 3080-3098 , 2016
 
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10

Bayesian inference and diagnostics in zero-inflated general..:

Barriga, Gladys D. Cacsire ; Dey, Dipak K.
Communications in Statistics - Theory and Methods.  45 (2016)  22 - p. 6553-6568 , 2016
 
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11

A model with long-term survivors: negative binomial Birnbau..:

Cordeiro, Gauss M. ; Cancho, Vicente G. ; Ortega, Edwin M. M..
Communications in Statistics - Theory and Methods.  45 (2015)  5 - p. 1370-1387 , 2015
 
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12

A New lifetime model for multivariate survival data with a ..:

Cancho, Vicente G. ; Louzada, Francisco ; Dey, Dipak K..
Journal of Statistical Computation and Simulation.  86 (2015)  2 - p. 279-292 , 2015
 
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13

A non‐default rate regression model for credit scoring:

Barriga, Gladys D. C. ; Cancho, Vicente G. ; Louzada, Francisco
Applied Stochastic Models in Business and Industry.  31 (2015)  6 - p. 846-861 , 2015
 
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15

The Geometric Birnbaum–Saunders regression model with cure ..:

Cancho, Vicente G. ; Louzada, Francisco ; Barriga, Gladys D.C.
Journal of Statistical Planning and Inference.  142 (2012)  4 - p. 993-1000 , 2012
 
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