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Original Articles

Bias Correction for a Generalized Log-Gamma Regression Model

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Pages 183-191 | Published online: 23 Mar 2012

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Artur J. Lemonte. (2011) Improved maximum-likelihood estimation in a regression model with general parametrization. Journal of Statistical Computation and Simulation 81:8, pages 1027-1037.
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Borko D. Stošić & Gauss M. Cordeiro. (2009) Using Maple and Mathematica to derive bias corrections for two parameter distributions. Journal of Statistical Computation and Simulation 79:6, pages 751-767.
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EdwinM. M. Ortega, Gilberto A. Paula & Heleno Bolfarine. (2008) Deviance residuals in generalised log-gamma regression models with censored observations. Journal of Statistical Computation and Simulation 78:8, pages 747-764.
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KlausL. P. Vasconcellos & Gilson B. Dourado. (2008) Nearly unbiased estimation in a biparametric exponential family. Journal of Statistical Computation and Simulation 78:5, pages 387-404.
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Chien-Tai Lin, Sam J. S. Wu & N. Balakrishnan. (2006) Inference for Log-Gamma Distribution Based on Progressively Type-II Censored Data. Communications in Statistics - Theory and Methods 35:7, pages 1271-1292.
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Klaus L. P. Vasconcellos & Sydney Gomes Da Silva. (2005) Corrected estimates for Student t regression models with unknown degrees of freedom. Journal of Statistical Computation and Simulation 75:6, pages 409-423.
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L. C. C. Montenegro, E. A. Colosimo, G. M. Cordeiro & F. R.B. Cruz . (2004) Bias correction in the cox regression model . Journal of Statistical Computation and Simulation 74:5, pages 379-386.
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F. R. B. Cruz, E. A. Colosimo & J. MacGregor Smith. (2004) Sample Size Corrections for the Maximum Partial Likelihood Estimator. Communications in Statistics - Simulation and Computation 33:1, pages 35-47.
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Chien-Tai Lin, Sam J. S. Wu & N. Balakrishnan. (2004) Interval Estimation of Parameters of Log-Gamma Distribution Based on Progressively Censored Data. Communications in Statistics - Theory and Methods 33:11, pages 2595-2626.
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Klaus L. P. Vasconcellos & Gauss M. Cordeiro. (2000) Bias corrected estimates in multivariate student t regression models. Communications in Statistics - Theory and Methods 29:4, pages 797-822.
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E.A. Colosimo, A.F. Silva & F.R.B. Cruz. (2000) Bias evaluation in the proportional hazards model. Journal of Statistical Computation and Simulation 65:1-4, pages 191-201.
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Gauss M. Cordeiro, Klaus L. P. Vasconcellos & Maria Luiza F. Santos. (1998) on the second-order bias of parameter estimates in nonlinear regression models with student t errors. Journal of Statistical Computation and Simulation 60:4, pages 363-378.
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Gauss M. Cordeiro, Enivaldo C. Da Rocha, Jacira Guiro C. Da Rocha & Francisco Cribari-Neto. (1997) Bias-corrected maximum likelihood estimation for the beta distribution. Journal of Statistical Computation and Simulation 58:1, pages 21-35.
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Gilberto A. Paula & Gauss M. Cordeiro. (1995) Bias correction and improved residuals for non-exponential family nonlinear models. Communications in Statistics - Theory and Methods 24:5, pages 1193-1210.
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David H. Young. (1993) Bias of maximum likelihood estimators of the response standard deviation in regression. Communications in Statistics - Theory and Methods 22:7, pages 1879-1891.
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Gilberto A. Paula. (1992) Bias correction for exponential family nonlinear modles. Journal of Statistical Computation and Simulation 40:1-2, pages 43-54.
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JamesR. Rieck & JerryR. Nedelman. (1991) A Log-Linear Model for the Birnbaum—Saunders Distribution. Technometrics 33:1, pages 51-60.
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Helmut Schneider & L. A. Weissfeld. (1989) Interval Estimation Based on Censored Samples from the Weibull Distribution. Journal of Quality Technology 21:3, pages 179-186.
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Articles from other publishers (12)

Ivan P. Malashin, Daniil S. Daibagya, Vadim S. Tynchenko, Vladimir A. Nelyub, Aleksei S. Borodulin, Andrei P. Gantimurov, Sergey A. Ambrozevich & Alexandr S. Selyukov. (2024) ML-Based Forecasting of Temporal Dynamics in Luminescence Spectra of Ag 2 S Colloidal Quantum Dots . IEEE Access 12, pages 53320-53334.
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Roger Tovar-Falón, Guillermo Martínez-Flórez & Heleno Bolfarine. (2022) Modelling Asymmetric Data by Using the Log-Gamma-Normal Regression Model. Mathematics 10:7, pages 1199.
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Gauss M. Cordeiro & Francisco Cribari-NetoGauss M. Cordeiro & Francisco Cribari-Neto. 2014. An Introduction to Bartlett Correction and Bias Reduction. An Introduction to Bartlett Correction and Bias Reduction 69 99 .
Gauss M. Cordeiro & Francisco Cribari-NetoGauss M. Cordeiro & Francisco Cribari-Neto. 2014. An Introduction to Bartlett Correction and Bias Reduction. An Introduction to Bartlett Correction and Bias Reduction 1 11 .
Wagner Barreto-Souza & Klaus L.P. Vasconcellos. (2011) Bias and skewness in a general extreme-value regression model. Computational Statistics & Data Analysis 55:3, pages 1379-1393.
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Ana M. Bianco, Marta Garcia Ben & Víctor J. Yohai. (2005) Robust estimation for linear regression with asymmetric errors. Canadian Journal of Statistics 33:4, pages 511-528.
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Klaus L. P. Vasconcellos, Alejandro C. Frery & Luciano B. Silva. (2005) Improving estimation in speckled imagery. Computational Statistics 20:3, pages 503-519.
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Ping‐Shing Chan. 2004. Encyclopedia of Statistical Sciences. Encyclopedia of Statistical Sciences.
Takafumi Isogai, Yukio Katano & Kenji Miyata. (2005) Models and Inference for Corrosion Pit Depth Data. Extremes 7:3, pages 253-270.
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N. Balakrishnan & P.S. Chan. 1998. Order Statistics: Applications. Order Statistics: Applications 61 83 .
N. Balakrishnan & P. S. Chan. 1996. Lifetime Data: Models in Reliability and Survival Analysis. Lifetime Data: Models in Reliability and Survival Analysis 29 37 .
Gauss M. Cordeiro & Peter McCullagh. (1991) Bias Correction in Generalized Linear Models. Journal of the Royal Statistical Society Series B: Statistical Methodology 53:3, pages 629-643.
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