Beta ridge regression estimators: simulation and application
暂无分享,去创建一个
[1] Raydonal Ospina,et al. Model Selection Criteria on Beta Regression for Machine Learning , 2019, Mach. Learn. Knowl. Extr..
[2] A. Zeileis,et al. Beta Regression in R , 2010 .
[3] Francisco Cribari-Neto,et al. Model selection criteria in beta regression with varying dispersion , 2017, Commun. Stat. Simul. Comput..
[4] B. M. Kibria,et al. Some ridge regression estimators for the zero-inflated Poisson model , 2013 .
[5] Volkan Sevinç,et al. TWO NEW RIDGE PARAMETERS AND A GUIDE FOR SELECTING AN APPROPRIATE RIDGE PARAMETER IN LINEAR REGRESSION , 2016 .
[6] New robust-ridge estimators for partially linear model , 2019 .
[7] A. V. Dorugade. New ridge parameters for ridge regression , 2014 .
[8] S. Bhat,et al. A Comparative Study on the Performance of New Ridge Estimators , 2016 .
[9] M. Norouzirad,et al. Preliminary test and Stein-type shrinkage ridge estimators in robust regression , 2017 .
[10] K. Månsson. On ridge estimators for the negative binomial regression model , 2012 .
[11] Modified Ridge Parameters for Seemingly Unrelated Regression Model , 2010 .
[12] Robert L. Mason,et al. Biased Estimation in Regression: An Evaluation Using Mean Squared Error , 1977 .
[13] R. R. Hocking,et al. A Class of Biased Estimators in Linear Regression , 1976 .
[14] Arthur E. Hoerl,et al. Ridge Regression: Biased Estimation for Nonorthogonal Problems , 2000, Technometrics.
[15] S. Aktas,et al. Beta Regression for the Indicator Values of Well-Being Index For Provinces in Turkey , 2017 .
[16] Z. Algamal. Performance of ridge estimator in inverse Gaussian regression model , 2019 .
[17] Marvin H. J. Gruber. Improving Efficiency by Shrinkage: The James--Stein and Ridge Regression Estimators , 1998 .
[18] A. E. Hoerl,et al. Ridge Regression: Applications to Nonorthogonal Problems , 1970 .
[19] Rasha A. Farghali,et al. Liu-Type Multinomial Logistic Estimator , 2018, Sankhya B.
[20] G. Shukur,et al. Developing Ridge Parameters for SUR Model , 2008 .
[22] Mohamed R. Abonazel,et al. Generalized two-parameter estimators in the multinomial logit regression model: methods, simulation and application , 2021, Communications in Statistics - Simulation and Computation.
[23] B. M. Kibria,et al. Performance of Some New Ridge Regression Estimators , 2003 .
[24] Wagner Barreto-Souza,et al. Improved estimators for a general class of beta regression models , 2008, Comput. Stat. Data Anal..
[25] A. E. Hoerl,et al. Ridge regression:some simulations , 1975 .
[26] R. Schaefer,et al. A ridge logistic estimator , 1984 .
[27] S. Ferrari,et al. On beta regression residuals , 2008 .
[28] Modified ridge-type estimator for the gamma regression model , 2020 .
[29] Ghazi Shukur,et al. Some Modifications for Choosing Ridge Parameters , 2006 .
[30] Mohamed R. Abonazel,et al. Modified ridge-type for the Poisson regression model: simulation and application , 2021, Journal of applied statistics.
[31] Michael Smithson,et al. A better lemon squeezer? Maximum-likelihood regression with beta-distributed dependent variables. , 2006, Psychological methods.
[32] Kristofer Månsson,et al. A Poisson ridge regression estimator , 2011 .
[33] M. Amin,et al. Performance of some ridge estimators for the gamma regression model , 2020 .
[34] Yasin ASAR,et al. Influence Diagnostics in Two-Parameter Ridge Regression , 2021 .
[35] Lennart Nordberg. A procedure for determination of a good ridge parameter in linear regression , 1982 .
[36] S. Ferrari,et al. Beta Regression for Modelling Rates and Proportions , 2004 .